OptaPlanner培训

OptaPlanner培训

OptaPlanner培训

OptaPlanner大纲

代码 名字 期限 概览
optaprac OptaPlanner in Practice 21小时 Planner introduction What is OptaPlanner? What is a planning problem? Use Cases and examples Bin Packaging Problem Example Problem statement Problem size Domain model diagram Main method Solver configuration Domain model implementation Score configuration Travelling Salesman Problem (TSP) Problem statement Problem size Domain model Main method Chaining Solver configuration Domain model implementation Score configuration Planner configuration Overview Solver configuration Model your planning problem Use the Solver Score calculation Score terminology Choose a Score definition Calculate the Score Score calculation performance tricks Reusing the Score calculation outside the Solver Optimization algorithms 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 Move and neighborhood selection Move and neighborhood introduction Generic Move Selectors Combining multiple MoveSelectors EntitySelector ValueSelector General Selector features Custom moves Construction heuristics First Fit Best Fit Advanced Greedy Fit Cheapest insertion Regret insertion Local search 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 Evolutionary algorithms Evolutionary Strategies Genetic Algorithms Hyperheuristics Exact methods Brute Force Depth-first Search Benchmarking and tweaking Finding the best Solver configuration Doing a benchmark Benchmark report Summary statistics Statistics per dataset (graph and CSV) Advanced benchmarking Repeated planning Introduction to repeated planning Backup planning Continuous planning (windowed planning) Real-time planning (event based planning) Drools Short introduction to Drools Writing Score Function in Drools Integration Overview Persistent storage SOA and ESB Other environment

近期课程

课程日期价格【远程 / 传统课堂】
OptaPlanner in Practice - 北京 - 侨福芳草地星期一, 2017-07-10 09:30¥18000 / ¥22200
OptaPlanner in Practice - Beijing Pacific Century Place星期一, 2017-07-17 09:30¥18000 / ¥22800
OptaPlanner in Practice - 厦门 - 国际银行大厦星期一, 2017-07-24 09:30¥18000 / ¥22200
OptaPlanner in Practice - 上海 - 上海中区广场星期三, 2017-08-09 09:30¥18000 / ¥25170
OptaPlanner in Practice - 海淀 - 创而新大厦星期三, 2017-08-16 09:30¥18000 / ¥23400

其它地区

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