How to use optaplanner. com/021i/bootstrap-4-datetimepicker.
quarkus. Jan 9, 2016 · How can we optimize Optaplanner to select the fastest route? See the highlighted point in the below image. api are 100% backwards compatible in future releases (especially minor and hotfix releases). optaplanner </ groupId > < artifactId > optaplanner-core </ artifactId > </ dependency > Sep 4, 2017 · Public API: All classes in the package namespace org. For example I have 4 trucks, Truck A -& All examples in the optaplanner-examples module have been refactored to JSON using the optaplanner-persistance-jackson module. org/Get the s Sep 6, 2017 · We are using optaplanner for VRP. parallel-solver-count=1) or in application. May 4, 2020 · Now available on Stack Overflow for Teams! AI features where you work: search, IDE, and chat. Sep 20, 2017 · Hey pretty new to optaplanner. Mar 30, 2023 · I am doing a project which requires to use optaplanner for constraint solving and optimization. The constraint would go like this private Constraint MaximumDailyOuput(ConstraintFactory constraintFactory) { // Limits maximum output per day. parallel-solver-count property either as a system property (-Doptaplanner. (For Jan 15, 2020 · Can we add/remove constraints in optaplanner dynamically using Java ? Is there any example. Final. Final</version> </dependency> The newest version of the library can be found under this link. Fri 31 See full list on baeldung. References to optaplanner. OptaPlanner can change the processes, allocating them to different computers. This is a pretty useful summary of the 'event loop' of optaplanner: Apr 24, 2020 · Now available on Stack Overflow for Teams! AI features where you work: search, IDE, and chat. Fri 31 Nov 4, 2014 · In the current version (7. For older community releases, check the documentation archive. g: The OptaPlanner jars are also available in the central maven repository (and also in the JBoss maven repository). Apr 13, 2020 · Public API: All classes in the package namespace org. The same logic applied during the fork of OptaPlanner: All OptaPlanner features are part of Community Edition, except for Multithreaded Solving and Nearby Selection. ai) is a lightweight, embeddable planning engine written in Java. This website was built with JBake and is open source. calculateScore then parse/process constraintMatches Nov 28, 2018 · Name or ip address used for the Wildlfy server management interface binding. Aug 21, 2013 · On the OptaPlanner mailing list, people have asked about using OptaPlanner from . And it scales too: both in data (more processes, more computers) and constraints (more hardware requirements, other constraints). For a future version, we intend to make implementing/modeling VRP even simpler by supporting a Vehicle. For example, if an employee starts working on a task, tell OptaPlanner to pin this task by sending a Apr 10, 2018 · Optaplanner not using different values for PlanningVariable. core. Order picking planning with OptaPlanner. OptaPlanner optimizes such planning to do more business with less resources. Consequently, using this model in the exam scheduling example to allow two or more exams to use the same room at the same time is problematic. *. This lightweight, embeddable planning engine implements powerful and scalable algorithms to optimize business resource scheduling and planning. 0. properties: It's a bug (jira linked). solve-length has been renamed to optaplanner. bat (Windows). Sep 15, 2021 · In conclusion, the performance gained in the JDK17 version is well worth the upgrade - at least for OptaPlanner use cases. Requires to run. OptaPlanner: List as Planning Variable. 44. 2. the way OptaPlanner user code is structured is that the user code is devided into several packages, and there is not a entire "end-to-end" flow of code, and as a developer I only see Jan 5, 2023 · Right now my ConstraintProvider is structured as follows:. Clone the Quickstarts code. solve. I want to use Java constraints streams but dont manage to define this constraint using the timeslot-pattern. Try OptaPlanner. Sep 3, 2018 · That input file is definied by the INRC2011 website, see link in optaplanner user guide chapter 3. jar osmreader. OptaPlanner can solve many of these vehicle routing variations and provides solution examples. Feb 21, 2023 · OptaPlanner 9 is coming and it remains functionally equivalent with OptaPlanner 8, except around Quarkus and Spring Boot. Dec 7, 2022 · For context, I am trying to build a constraint in Optaplanner for a job scheduling problem. We have no issue for running the app in intelliJ with JDK. In this article I am going to show how to use the OptaPlanner Operator to deploy and scale school timetabling on OpenShift . It solves use cases such as: Feb 15, 2020 · Public API: All classes in the package namespace org. Dec 19, 2019 · As default, I'm a beginner about OptaPlanner and I find all solvers are built by the xml configuration file in OptaPlanner. It solves use cases such as: Jan 31, 2022 · Learn more: https://www. This is how I used it: Feb 23, 2015 · Here’s my recommendation for OptaPlanner users: In development, use debug (or trace) logging with a console appender by default, so you can see what’s going on. Jul 21, 2021 · I am not quite sure why you weren't able to use groupBy(), you should add the explanation to your question. com/in/ge0ffrey/Guide: https://quarkus. If you use the DRL score calculation, migrate to the Constraint Streams API as DRL has long since been deprecated. Port used for the Wildlfy server management interface binding. NET before. If you're interested in pursuing that direction (and it fits within your requirements), here were some of the idea's: In Java, expose an OptaPlanner implementation as a REST service (with RestEasy and/or Camel). Mar 24, 2022 · Then use time based termination. This question: How is the scoreDirector accessed when using the autowired SolverManager with Optaplanner? mentions autowiring solverfactory and then using Solverfactory Therefore, OptaPlanner focuses on finding the best solution in available time. OptaPlanner is open. pbf from geofabrik or elsewhere; mvn clean install assembly:single; java -jar target/*-jar-with-dependencies. Mon 31 January 2022. One challenge we have is many of our constraints are specific to a local area. optaplanner</groupId> <artifactId>optaplanner-spring-boot-starter</artifactId> <version>8. . com Jan 9, 2018 · When I ran that Traveling Salesman Problem again in OptaPlanner, this time using LambdaMetafactory to access planning variables, the score calculation speed was 9% faster overall. build(); Use OptaPlanner (Java™, open source) to optimize school timetabling, adhering to teacher availability, room capacity and other constraints. A student can attend at most one lesson at the same time. For example, in one state Technician can't cross state line where as in other states technicians can cross state line. setScoreCalculator(new NQueensEasyScoreCalculator()). Under the hood, it combines optimization heuristics and Red Hat build of OptaPlanner 8 reaches End of Life on 30 May 2024 at which time you can choose to continue using the Red Hat build of OptaPlanner with an Extended Life Support contract until May 2026. Administration user for connecting to the Wildfly server running current Workbench. Mar 3, 2023 · OptaPlanner can solve many of these vehicle routing variations and provides solution examples. I haven't found a way yet to determine a somewhat reasonable SA default temperature (it's too use case specific). I would like to limit the number of courses given by a teacher, every day, to 2. OptaPlanner is a lightweight, embeddable constraint satisfaction engine which optimizes planning problems. It solves use cases such as: OptaPlanner is a lightweight, embeddable constraint satisfaction engine which optimizes planning problems. In addition, the fastest garbage collector for these use cases is still ParallelGC , instead of G1GC (the default). A teacher can teach at most one lesson at the same time. It will replace the stick with the carrot for OptaPlanner. Unlike pareto we are going to compare scores of similar entities. Amazing tool. I think i cannot use CVRPTW as arrivalAfterDueTimeAtDepot is a build-in hard constraint (and besides i do not have any time constraints). debug("); This makes sure it gets logged in the right order as Logging vs println can be asynchronous and things may not be in time ascending order. The default value is the package that contains the ConstraintProvider implementation or the value from constraint configuration, if implemented. Jun 16, 2022 · I guess I could do that if I could use a List as planning variable. 9990. optaplanner</groupId> <artifactId>optaplanner-benchmark</artifactId> </dependency> This is similar for Gradle, Ivy and Buildr. My current model seems to be flawed, or I am not understanding how to use OptaPlanner properly. wildfly. solver. Mar 3, 2018 · OptaPlanner is a lightweight, embeddable planning engine. org/Get the source code: https://github. I've been stuck on getting OptaPlanner to use multiple threads. It is also compatible with other JVM languages (such as Kotlin and Scala). Please try the first Beta and give us your feedback if you can. sh (Linux/macOS) or runQuickstarts. It enables everyday Java™ programmers to solve optimization problems efficiently. We encourage you to migrate to OptaPlanner 9 as soon as it becomes available, but we will continue supporting OptaPlanner 8 for a while. I want to limit the maximum amount of output that can be done per day for each different type of job. Nevertheless, a future version of OptaPlanner will Mar 12, 2014 · Here you can see although the sum of rows and columns are equal to 15; Numbers 7,5 and 3 are used multiple times. If you are starting a new project, visit the code. A fast, easy-to-use, open source AI constraint solver for software developers. com/in/ge0ffrey/Learn more about OptaPlanner: https://www. If you’re using Spring and want to add AI planning, use the OptaPlanner Spring Boot Starter to get up and running quickly. Then you can think: if OptaPlanner is unable to improve the solution for say 1 hour, then stop. This module provides OptaPlanner implementations of Drools data model interfaces used by OptaPlanner Workbench. 2, an example is shown, but it isn't clear how the list Mar 7, 2022 · With OptaPlanner, you can either reload the updated problem, or react in real time by submitting a ProblemChange. Jul 4, 2019 · To run the OptaPlanner examples in IntelliJ, I followed the guide in "ReadMeOptaPlanner" in "\optaplanner-distribution-7. Workaround: just ignore the results of SA in the blueprint's benchmark report. 0 or a compatible license. duration to follow Micrometer naming conventions and make it appear better in a variety of monitoring systems. Jan 11, 2016 · You can use the JAMA to solve this. May 19, 2015 · Although OptaPlanner is written completely in pure Java (Standard Edition), the current version (6. This type of optimization problem is referred to as the vehicle routing problem (VRP) and has many variations. public class SchedulingConstraintProvider implements ConstraintProvider { @Override public Constraint[] defineConstraints(ConstraintFactory cf) { return new Constraint[] { teacherBreakConstraint(cf), teacherConflictConstraint(cf) }; } // Simply for code reuse. Red Hat does not intend to offer the next version, Red Hat build of OptaPlanner 9, as a standalone product within Red Hat Application Foundations. Apr 26, 2021 · Yes taking the node/edge example from my other thread. However, the profiling (using sampling) still shows a lot of executeGetter() time, but less than with reflection. This is an open source project, and you are more than welcome to contribute ️! The processList property holds a list of processes. Nov 23, 2021 · The problem I want to solve is to evaluate whether the input plan is reasonable, so when I input an ordered data set, I hope Optaplanner can directly score the plan based on the constraints I confi During a lesson, represented by the Lesson class, a teacher teaches a subject to a group of students, for example, Math by A. Sep 6, 2023 · OptaPlanner solves planning problems. So it sorts the planning values on decreasing strength. Sep 6, 2023 · If you're starting a new project, or you don't use Quarkus or Spring Boot, we recommend using OptaPlanner 9. I found out about the PlanningListVariable but can't figure out how to use it and can't find any use case with that. So let’s see how OptaPlanner can be used in this scenario. It solves use cases such as: Solve planning and scheduling problems with OptaPlanner. Jan 31, 2018 · Public API: All classes in the package namespace org. Use unimproved time spent termination for that. By using constraints, I know how to enforce a limit at one, e. Those are part of Enterprise Edition. May 1, 2023 · New solver features go to Community Edition, except for high-scalability features. Understand when Optaplanner calculates scores, and when it doesn't. optaplanner</groupId> <artifactId>optaplanner-core</artifactId> </dependency> A room can have at most one lesson at the same time. 23. This will helping to write code easy way. I looked at the example code from git, but still feel quite lost about how to model my planning problem (for example some special TSP variant, let's say TSPTW ). Also, OptaPlanner 9 no longer supports the AbstractScoreHibernateType and its subtypes. com. Do note that won't load balance the distance per vehicle. setSearch(new ***()). You switched accounts on another tab or window. But there are differences: The computers are already bought, so we might as well use them all; All computers have the same network bandwidth. these businesses is to deliver a piece of cargo from the loading point to a destination and use its vehicle fleet in the most efficient way. You have a rough idea what the score of a "good enough" solution should be. Requires the model to support planning value strength comparison . 0. 7) the docs have a quick start that explains the concepts on another use case and then see the VRP implementation example. solve-length. Sep 6, 2023 · OptaPlanner 是一个AI(人工智能)约束求解器，它可以优化规划和调度问题，例如:车辆路线规划，人员排班，云端优化，任务分配，会议日程安排，生产车间调度，背包问题及很多其它规划类问题。 OptaPlanner is the leading Open Source Java™ AI constraint solver to optimize the Vehicle Routing Problem, the Traveling Salesman Problem and similar use cases. properties Public API: All classes in the package namespace org. In this article, I will show how to use OptaPlanner on Android and demonstrate a simple Vehicle Routing app. However, if you use score DRL, start planning your migration from score DRL to some other scoring mechanism, preferably CS. org/OptaPlanner optimizes plans and schedules with hard constraints and soft constraints. optaplanner</groupId> <artifactId>optaplanner-core</artifactId> </dependency> Aug 15, 2020 · I would love to use OptaPlanner constraint solver, this is light weight AI based tool to provides help in java programming to embed several application using APIs. Note: Vehicles does not need to come back depot. My issue is that OptaPlanner won't take an Instant as a planning variable, as it isn't able to find a PlanningId for it. It solves use cases such as: Nov 29, 2018 · OptaPlanner is the leading Open Source Java™ AI constraint solver to optimize employee shift rostering and similar use cases. OptaPlanner - A fast, easy-to-use, open source AI constraint solver for software developers. Public API: All classes in the package namespace org. Final) requires a workaround to work on Android due to a limitation in the Android platform. You signed out in another tab or window. To use OptaPlanner with Quarkus, read the Quarkus Java quick start. Nov 9, 2022 · The Demo App generates data sets, stores them in the PostgreSQL database, and sends a message to the school-timetabling-problem queue per each data set. osm. osm=berlin-latest. Mar 29, 2019 · I use incremental Java score calculation, and not the drools engine. 4. May 23, 2022 · We have a use-case where we need to return the "top-N-best-solutions" for a problem using OptaPlanner. port. visitList style model. OptaPlanner 8 users can continue using score DRL because we will maintain score DRL support for the lifetime of OptaPlanner 8. You will build a command-line application that optimizes a school timetable for students and teachers: Apr 21, 2015 · Is there a min-conflict algorithm in optaplanner? or how to do it? What about using it as part of the neighborhood selection like: Define custom swap factory that construct neighborhood as follow; Get all violations per variable to optimize, thus requires a call to scoreDirector. Use classpath of module: optaplanner-examples. admin. Quickstarts were not affected by these changes, as they already were serializing into JSON. Final": Open "pom. OptaPlanner (and its continuation fork Timefold. Final with optaplanner-spring-boot-starter and everything works as expected except that I can't figure out how to implement a problemFactChange. They Aug 26, 2016 · LoggerFactory. OptaPlanner does find the more optimal solution fast, by using additional, smarter algorithms. How can I enforce the all the values in the value range for the planning variable is used at least once and only once. <dependency> <groupId>org. Unlike the n queens problem, real world problems require the use of acceptedCountLimit. 90% of OptaPlanner users don’t use either of these. * in the monitoring system should be changed to optaplanner. optaplanner</groupId> <artifactId>optaplanner-core</artifactId> </dependency> OptaPlanner exposes metrics through Micrometer which you can use to monitor the solver. pbf config=config. In rare circumstances, if the major version number changes, a few specific classes might have a few backwards incompatible changes, but those will be clearly documented in the upgrade recipe. optaplanner</groupId> <artifactId>optaplanner-core</artifactId> </dependency> Jun 14, 2022 · If you use Quarkus or Spring Boot and have the SolverManager instance injected by the framework, then try setting the parallel solver count using the optaplanner. May 1, 2019 · The VRP example in optaplanner-examples doesn't clone it's distance matrix (the Location instances aren't planning cloned). com/GeoffreyDeSmetLinkedIn: https://www. xml" as project in IntelliJ Edit Run Configuration. Reload to refresh your session. Jan 13, 2015 · I'm attempting to limit the planning variables that can be associated with a particular entity. Turn on INFO logging to see the step times. Jul 26, 2021 · We developped a SpringBoot project with Java 11 using optaplanner-core and defining rules in a Drools file. It's important to understand that anything that directly or indirectly references a planning entity or the planning solution, must be planning cloned, or changes to the working solution will affect the best solution The Micrometer meter optaplanner. xml: <dependency> <groupId>org. com/kiegroup/opta Use classpath of module: optaplanner-examples. Mar 13, 2019 · OptaPlanner handles such scenarios using ProblemFactChange. This is an open source project, and you are more than welcome to contribute ️! You signed in with another tab or window. All dependencies of this project are available under the Apache Software License 2. It is taking the long route. Constraints on planning problems You signed in with another tab or window. It reduces costs substantially, Jun 26, 2017 · See the optaplanner-webexamples example to see this in action (including google maps and openstreetmap visualization) and see optaplanner-examples's Vehicle routing example to play with bigger datasets, multi-depot cases and/or time windows. I'd recommend a good LU decomposition method. Presentation instructions Press the right arrow key to go to the first real slide; Press the down arrow key when you reach the desired training section Apr 24, 2023 · Apart from those, OptaPlanner 9 currently does not support DRL score calculation when used together with Quarkus. Use the Benchmarker to tweak the value. Chained through time pattern using planning list variable Feb 23, 2020 · In my optaplanner project i have periods with fixed duration. It helps normal Java programmers solve constraint satisfaction problems efficiently. Otherwise, stay on OptaPlanner 8, but plan for the Jul 6, 2022 · I am trying to solve the following problem with OptaPlanner: It is necessary to divide list of jobs between employees. You have a vague idea of the time available for solving. duration. Nullable chained planning variable in Optaplanner. That being said, optaplanner-examples includes the following serialization formats: Every example: XStream XML format in data directories unsolved and solved. OptaPlanner is a lightweight, embeddable planning engine . OptaPlanner is a lightweight, embeddable constraint satisfaction engine which optimizes planning problems. It covers any type of fleet scheduling, such as routing of airplanes, trucks, buses, taxis, bicycles and ships, regardless if the vehicles are transporting products or passengers or The OptaPlanner jars are also available in the central maven repository (and also in the JBoss maven repository). In production, use warn (or info) logging with a file appender by default, so you retain important information. The OptaPlanner jars are also available in the central maven repository (and also in the JBoss maven repository). Therefore, a process is a planning entity and the list of processes is a collection of planning entities. What I have is a process planning entity that has an "availability zone" and set of computers that also have an assigned availability zone. OptaPlanner automatically connects to configured registries when it is used in Quarkus or Spring Boot. 5. OptaPlanner does find the more optimal solution by using additional, smarter algorithms. solver-manager. Sep 4, 2022 · I'm trying to use optaplanner to generate a schedule for a university. 3. The results of Genetic Algorithms were consistently and seriously inferior to all the Local Search variants (except Hill Climbing) on all use cases tried. Nov 16, 2015 · I want to use the optaplanner benchmark in order to compare between the solvers I used. Can anyone tell me as to how one can get started? I have read the documentation on the optaplanner we Jul 9, 2018 · Dear OptaPlanner community. Turing for 9th grade or Chemistry by M. OptaPlanner helps normal Java TM programmers solve constraint satisfaction problems efficiently. Fri 31 Apr 9, 2021 · I'm using Optaplanner 8. Migration to CS is simple. xml: < dependency > < groupId > org. linkedin. Review collected by and hosted on G2. Below link says something about it using drools. Sep 24, 2021 · I want to solve my problem regarding optaplanner but I am confused on how should I design the model. Sep 23, 2022 · Twitter: https://twitter. datasource. 2. So I want to know how can I build my solver just using pure java code, just like. 16. Since a process can only b The new solution is called a neighbor of the original solution, because it can be reached in a single Move. Jun 9, 2022 · Recently, we have added a new (experimental) optaplanner-operator module that will simplify running OptaPlanner workloads on Kubernetes. Download and unzip. Reference manual (user guide) of OptaPlanner, also includes quick Download the berlin. Learn more Explore Teams Luckily, OptaPlanner includes a benchmarker, which allows you to play out different solver phases with different settings against each other in development, so you can use the best configuration for your planning problem in production. Review the real-world examples of constraints found in OptaPlanner Nov 7, 2014 · The whole dataset serialization from and to XML is part of optaplanner-examples: OptaPlanner itself doesn't provide or require any serialization format. The version must be exactly the same as the optaplanner-core version used (which is automatically the case if you import optaplanner-bom). com/GeoffreyDeSmetLearn more about OptaPlanner: https://www. The network bandwidth should be load balanced (= distributed fairly) across all computers. send me the video url if it exists. Thanks. It solves use cases such as: OptaPlanner is a lightweight, embeddable planning engine. The problem in our case is that there are a lot of customers, and not all of them can be served in a specific planning cycle. Before we look at problem changes and the SolverManager API, let’s get familiar with the problem domain used in all the following examples, Cloud Balance: The customer’s use case closely resembles the OptaPlanner example CloudBalancing. I want the user to be allowed to add or remove this constraints at runtime using some UI. Curie for 10th grade. OptaPlanner is trademarked . We would like to show you a description here but the site won’t allow us. That starter has the same features as the Quarkus extension, except for the typical Quarkus benefits (such as subsecond bootstrap performance and native compilation). The format is defined by the Constraint package is the Java package that contains the constraint. If you use Maven, add a dependency to optaplanner-core in your project's pom. It also scales: both in data (more processes, more computers) and constraints (more hardware requirements, other constraints). So let's take a look how we can use Planner for this. OptaPlanner enables developers to focus on modeling business rules and requirements instead of learning constraint programming theory. I want to solve the problem regarding logistic service. Akif, OptaPlanner - A fast, easy-to-use, open source AI constraint solver for software developers. getLogger("org. optaplanner. management. In the OptaPlanner manual in section 4. This is an open source project, and you are more than welcome to contribute ️! The OptaPlanner jars are also available in the central maven repository (and also in the JBoss maven repository). io/guides/optaplannerOptaPlanner homepage: h OptaPlanner is a lightweight, embeddable constraint satisfaction engine which optimizes planning problems. That said, what you're trying to do should be doable like so: Apr 23, 2020 · That will trigger a positive score instead of a negative score impact for each distance unit (km or time). Jan 13, 2021 · My twitter: https://twitter. Learn more Explore Teams Twitter: https://twitter. OptaPlanner is trademarked. If you use OptaPlanner with plain Java, you must add the metrics registry to the global registry. This is known as Constraint Satisfaction Programming (which is part of the discipline Operations Research). Is there a video explaining this issue because I'm confused using the docs, and I tried to implement what's written in the docs but it seems I missed something. It enables everyday Java™ programmers to solve optimization problems efficiently. can it be done using java ? how to dynamically add / remove constraints in optaplanner You will build a REST application that optimizes a school timetable for students and teachers: Like First Fit, but uses the strong planning values first, because the strong planning values are more likely to have a lower soft cost to use. Using OptaPlanner, you can switch the optimization algorithm by changing the solver configuration in a few lines of XML or code. There is a minimum and maximum amount of job that 1 employee can perform. A good Genetic Algorithms prototype in OptaPlanner was written some time ago, but it wasn’t practical to merge and support it at the time. Then use best score termination. Contributing to OptaPlanner. optaplanner"). The School Timetabling project, which defines the optimization problem, reads a single message from the school-timetabling-problem queue, loads the data set from the database, and solves it. Run runQuickstarts. Also there are more sophisticated libraries like: FPL and Benoit In order to start using the OptaPlanner library, we need to add to our project the OptaPlanner Spring Boot Starter dependency: <dependency> <groupId>org. For a specific use case of the OptaPlanner framework, I would like to use the chained data structure, as it is used in the Vehicle Routing example. Specifically: The first pattern is a Late (L) followed by a Day (D) shift. In "realistic, independent competitions", it often comes out as the best reusable software. Nodes: a,b,c,d Edges: a->b; a->d; b->d Each node have minimum and maximum stock levels resulting in a deviation (a=-4; b=0; c=+6; d=+1) Using as fitness function "minimize the deviation in the whole network". 3. io and select the OptaPlanner AI constraint solver extension before generating your application. Although a single move can change multiple queens, the neighbors of a solution should always be a very small subset of all possible solutions. Download 9. Going through the Sep 29, 2020 · How can we use multiple ConstraintProviders, when using the springboot optaplanner-spring-boot-starter 0 Optaplanner implements multiple constraint configurations Jun 21, 2022 · De Smet is the lead and creator of OptaPlanner, an open-source AI constraint solver that can be used to solve planning problems and automate schedules such as vehicle routing, employee rostering OptaPlanner is a lightweight, embeddable constraint satisfaction engine which optimizes planning problems. optaplanner</groupId> <artifactId>optaplanner-core</artifactId> </dependency> Use OptaPlanner (open source, Java) for Artificial Intelligence planning optimization on Quarkus. For some of them there is a medium constraint that they should be scheduled in a row, occupying for example 5 directly adjacent timeslots. Start from an acceptedCountLimit that takes a step in less than two seconds. SolverFactory. myuz qxxf pjyqbfap wpa wlxjy smjivux yohra pqyq abwqxdm xtg