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Course Highlights

  • Instructor-led Online Training
  • Project Based Learning
  • Certified & Experienced Trainers
  • Course Completion Certificate
  • Lifetime e-Learning Access
  • 24x7 After Training Support

OptaPlanner Training Course Overview

Boost your career with OptaPlanner Training by Multisoft Systems! Learn to optimize workforce schedules, vehicle routing, and resource allocation using AI-based planning techniques. This comprehensive program covers real-world optimization models, constraint-solving methods, and Java integration, empowering professionals to design efficient, intelligent solutions for enterprise operations and decision-making.

OptaPlanner Training by Multisoft Systems is a comprehensive program designed to help professionals master business resource optimization using AI-driven constraint-solving techniques. This course introduces participants to the power of OptaPlanner, a powerful open-source constraint satisfaction engine built on Java, used to solve complex scheduling, routing, and planning challenges across industries. Learners will gain hands-on experience in developing real-world optimization solutions such as employee rostering, vehicle routing, task assignment, and resource allocation. Through interactive sessions and practical exercises, participants will understand how to model constraints, implement business logic, and integrate OptaPlanner with enterprise applications. The course also covers performance tuning, heuristic algorithms, and solver configuration to maximize efficiency. With expert-led guidance, learners will explore use cases from logistics, healthcare, manufacturing, and IT resource planning, helping them design systems that improve productivity and decision-making accuracy.

By the end of the training, participants will have a solid grasp of optimization techniques, rule-based systems, and AI planning concepts that can transform manual scheduling into intelligent automation. Whether you are a developer, data scientist, or enterprise architect, this course will empower you to apply OptaPlanner to real-world business problems efficiently and effectively.

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OptaPlanner Training Course curriculum

Curriculum Designed by Experts

Boost your career with OptaPlanner Training by Multisoft Systems! Learn to optimize workforce schedules, vehicle routing, and resource allocation using AI-based planning techniques. This comprehensive program covers real-world optimization models, constraint-solving methods, and Java integration, empowering professionals to design efficient, intelligent solutions for enterprise operations and decision-making.

OptaPlanner Training by Multisoft Systems is a comprehensive program designed to help professionals master business resource optimization using AI-driven constraint-solving techniques. This course introduces participants to the power of OptaPlanner, a powerful open-source constraint satisfaction engine built on Java, used to solve complex scheduling, routing, and planning challenges across industries. Learners will gain hands-on experience in developing real-world optimization solutions such as employee rostering, vehicle routing, task assignment, and resource allocation. Through interactive sessions and practical exercises, participants will understand how to model constraints, implement business logic, and integrate OptaPlanner with enterprise applications. The course also covers performance tuning, heuristic algorithms, and solver configuration to maximize efficiency. With expert-led guidance, learners will explore use cases from logistics, healthcare, manufacturing, and IT resource planning, helping them design systems that improve productivity and decision-making accuracy.

By the end of the training, participants will have a solid grasp of optimization techniques, rule-based systems, and AI planning concepts that can transform manual scheduling into intelligent automation. Whether you are a developer, data scientist, or enterprise architect, this course will empower you to apply OptaPlanner to real-world business problems efficiently and effectively.

  • Understand the fundamentals of constraint satisfaction and optimization in business environments.
  • Learn how to model real-world planning and scheduling problems using OptaPlanner.
  • Gain proficiency in implementing and customizing constraint-solving algorithms.
  • Develop skills to integrate OptaPlanner with Java-based enterprise applications.
  • Explore heuristic and metaheuristic algorithms such as Tabu Search, Simulated Annealing, and Late Acceptance.
  • Learn to optimize workforce scheduling, vehicle routing, and task allocation for efficiency.
  • Understand how to define hard and soft constraints and manage trade-offs effectively.
  • Master the configuration and tuning of solvers for better performance and scalability.
  • Apply OptaPlanner to industry-specific use cases in logistics, healthcare, and manufacturing.
  • Build intelligent, AI-driven decision-making systems for business process optimization.

Course Prerequisite

  • Basic understanding of Java programming and object-oriented concepts
  • Familiarity with algorithms and data structures
  • Fundamental knowledge of optimization or problem-solving techniques

Course Target Audience

  • Java Developers and Software Engineers
  • Data Scientists and AI Engineers
  • Solution Architects and System Designers
  • Business Analysts and Operations Managers
  • Optimization and Planning Engineers
  • Enterprise Application Developers
  • Supply Chain and Logistics Professionals
  • IT Project Managers
  • Automation and Process Improvement Specialists
  • Research Professionals working on AI and optimization models

Course Content

  • What is OptaPlanner?
  • What is a planning problem?
  • Use Cases and examples

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  • Problem statement
  • Problem size
  • Domain model diagram
  • Main method
  • Solver configuration
  • Domain model implementation
  • Score configuration

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  • Problem statement
  • Problem size
  • Domain model
  • Main method
  • Chaining
  • Solver configuration
  • Domain model implementation
  • Score configuration

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  • Overview
  • Solver configuration
  • Model your planning problem
  • Use the Solver

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  • Score terminology
  • Choose a Score definition
  • Calculate the Score
  • Score calculation performance tricks
  • Reusing the Score calculation outside the Solver

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  • Search space size in the real world
  • Does Planner find the optimal solution?
  • Architecture overview
  • Optimization algorithms overview
  • Which optimization algorithms should I use?
  • SolverPhase
  • Scope overview
  • Termination
  • SolverEventListener
  • Custom SolverPhase

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  • Move and neighborhood introduction
  • Generic Move Selectors
  • Combining multiple MoveSelectors
  • EntitySelector
  • ValueSelector
  • General Selector features
  • Custom moves

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  • First Fit
  • Best Fit
  • Advanced Greedy Fit
  • the Cheapest insertion
  • Regret insertion

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  • Local Search concepts
  • Hill Climbing (Simple Local Search)
  • Tabu Search
  • Simulated Annealing
  • Late Acceptance
  • Step counting hill climbing
  • Late Simulated Annealing (experimental)
  • Using a custom Termination, MoveSelector, EntitySelector, ValueSelector or Acceptor

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  • Evolutionary Strategies
  • Genetic Algorithms

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Module 1: Exact methods

  • Brute Force
  • Depth-first Search

Module 2: Benchmarking and tweaking

  • Finding the best Solver configuration
  • Doing a benchmark
  • Benchmark report
  • Summary statistics
  • Statistics per dataset (graph and CSV)
  • Advanced benchmarking

Module 3: Repeated planning

  • Introduction to repeated planning
  • Backup planning
  • Continuous planning (windowed planning)
  • Real-time planning (event based planning)

Module 4: Drools

  • Short introduction to Drools
  • Writing Score Function in Drools

Module 5: Integration

  • Overview
  • Persistent storage
  • SOA and ESB
  • Other environment

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OptaPlanner Training (MCQ) Assessment

This assessment tests understanding of course content through MCQ and short answers, analytical thinking, problem-solving abilities, and effective communication of ideas. Some Multisoft Assessment Features :

  • User-friendly interface for easy navigation
  • Secure login and authentication measures to protect data
  • Automated scoring and grading to save time
  • Time limits and countdown timers to manage duration.
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OptaPlanner Corporate Training

Employee training and development programs are essential to the success of businesses worldwide. With our best-in-class corporate trainings you can enhance employee productivity and increase efficiency of your organization. Created by global subject matter experts, we offer highest quality content that are tailored to match your company’s learning goals and budget.


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Customized Training

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360º Learning Solution

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Learning Assessment

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Certification Training Achievements: Recognizing Professional Expertise

Multisoft Systems is the “one-top learning platform” for everyone. Get trained with certified industry experts and receive a globally-recognized training certificate. Some Multisoft Training Certificate Features :

  • Globally recognized certificate
  • Course ID & Course Name
  • Certificate with Date of Issuance
  • Name and Digital Signature of the Awardee
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OptaPlanner Training FAQ's

OptaPlanner is an open-source AI constraint solver that helps optimize complex scheduling, planning, and resource allocation problems such as employee rostering, vehicle routing, and production scheduling.

This training is ideal for developers, data scientists, architects, and professionals involved in optimization, AI planning, logistics, or enterprise application development.

Yes, a basic understanding of Java programming and algorithms is recommended to get the most out of the training.

You’ll learn to model real-world planning problems, implement AI-based optimization logic, configure solvers, and integrate OptaPlanner with enterprise systems for automated decision-making.

To contact Multisoft Systems you can mail us on info@multisoftsystems.com or can call for course enquiry on this number +91 9810306956

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