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Geoffrey De Smet
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Geoffrey De Smet

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One critical bit missing for OptaPlanner is a web application to define an optimization problem in a web UI and to deploy it to the cloud. Drools and jBPM both already have such a web application: Drools Workbench and jBPM Workbench. So it’s no big surprise that the OptaPlanner version of this will...
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#OptaPlanner 6.3.0.Final is out:
- Easier to configure
- Shadow variables improved
- New financial optimization example
Read our new and noteworthy:
http://www.optaplanner.org/download/releaseNotes/releaseNotes6.3.html
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What is the fastest Garbage Collector in #Java 8?
Should Java 9 default to G1?
OpenJDK 8 has several Garbage Collector algorithms, such as Parallel GC, CMS and G1. Which one is the fastest? What will happen if the default GC changes from Parallel GC in Java 8 to G1 in Java 9 (as currently proposed)? Let’s benchmark it. Benchmark methodology Run the same code 6 times with a...
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Investment portfolio optimization with #OptaPlanner
Increase expected return of your investments under your desired risk, sector and region limits.
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OptaPlanner 6.4.0.Beta1 released: generic API, less memory for Nearby Selection, statistical benchmarking, ...
http://www.optaplanner.org/download/releaseNotes/releaseNotes6.4.html
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Scheduling in time: design patterns to help model the domain classes
http://www.optaplanner.org/blog/2015/12/01/TimeSchedulingDesignPatterns.html #optaplanner
Designing an efficient domain model for a scheduling problem that involves time (or dates) can seem difficult. Typical use cases are course timetabling, meeting scheduling, vehicle routing with time windows and TV advertisement scheduling. Let’s take a look at design patterns to model such problems in OptaPlanner. Is starting time a planning variable? In...
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How lucky are your random seeds ? Are you overfitting? The #OptaPlanner Benchmarker now shows it. http://www.optaplanner.org/blog/2015/09/30/HowLuckyAreYourRandomSeeds.html by Ondrej #orms
For a long time, it was uncertain if choosing different random seeds impacted the results of OptaPlanner. Are there random seeds that yield statistically significant improvements to the results of your solver? A new feature in OptaPlanner’s Benchmarker will help us figure it out. Statistical benchmarking As of version 6.4.0.Beta1, the benchmarker will support...
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976 people
Anton Hughes's profile photo
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jihoon kong's profile photo
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OptaPlanner lead
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OptaPlanner lead
Introduction
I am the lead for OptaPlanner (java, open source) and I work for Red Hat.


OptaPlanner optimizes business resource usage. Every organization faces planning problems: provide products or services with a limited set of constrained resources (employees, assets, time and money). OptaPlanner optimizes such planning to do more business with less resources.

OptaPlanner is a lightweight, embeddable planning engine written in Java™. It helps normal Java™ programmers solve constraint satisfaction problems efficiently. Under the hood, it combines optimization heuristics and metaheuristics with very efficient score calculation.

OptaPlanner is open source software, released under the Apache Software License. It is 100% pure Java™, runs on any JVM and is available in the Maven Central Repository too.

For more information, visit http://www.optaplanner.org
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