Master intelligent constraint-solving with OptaPlanner Training by Multisoft Virtual Academy. This course equips professionals to optimize scheduling, routing, and resource management efficiently using OptaPlanner’s AI-driven algorithms. Learn through real-world scenarios, expert guidance, and hands-on labs to enhance business decision-making and streamline operations across diverse industries. Enroll now to get certified!
| 28 Mar 2026 | 24 | 06:00 PM - 09:00 PM | Sat, Sun | |
| 29 Mar 2026 | 24 | 06:00 PM - 09:00 PM | Sat, Sun | |
| 04 Apr 2026 | 24 | 06:00 PM - 09:00 PM | Sat, Sun | |
| 05 Apr 2026 | 24 | 06:00 PM - 09:00 PM | Sat, Sun |
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| 28 Mar 2026 | 24 | 06:00 PM - 09:00 PM | Sat, Sun | |
| 29 Mar 2026 | 24 | 06:00 PM - 09:00 PM | Sat, Sun | |
| 04 Apr 2026 | 24 | 06:00 PM - 09:00 PM | Sat, Sun | |
| 05 Apr 2026 | 24 | 06:00 PM - 09:00 PM | Sat, Sun |
Course Price At
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Online Self Learning Courses are designed for self-directed training, allowing participants to begin at their convenience with structured training and review exercises to reinforce learning. You’ll learn through videos, PPTs and complete assignments, projects and other activities designed to enhance learning outcomes, all at times that are most convenient to you.
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OptaPlanner Training is a specialized program that teaches participants how to solve real-world optimization and scheduling problems using the open-source OptaPlanner engine. It focuses on constraint satisfaction, AI-based planning, and resource optimization. Learners gain hands-on experience in developing efficient solutions for workforce scheduling, vehicle routing, and resource allocation. The training equips professionals with the skills to integrate OptaPlanner into enterprise systems for smarter, automated business decision-making.
Module 1: Planner introduction
Module 2: Bin Packaging Problem Example
Module 3: Travelling Salesman Problem (TSP)
Module 4: Planner configuration
Module 5: Score calculation
Module 6: Optimization algorithms
Module 7: Move and neighborhood selection
Module 8: Construction heuristics
Module 9: Local search
Module 10: Evolutionary algorithms
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Module 1: Exact methods
Module 2: Benchmarking and tweaking
Module 3: Repeated planning
Module 4: Drools
Module 5: Integration
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