👨‍💻 My Optimization-Studio

• Simulation, Metaheuristics, Optimization method, Reinforcement learning
• New metaheuristic algorithm
  • Recursive Fractal Search
• Industrial application of AI
• Visual simulator of process
• 

Simulation

• Job-shop Simulator
  • Single machine sequence
    

Metaheuristics

• Genetic Algorithm
  • Find the largest number
    
  • Continuous problem
  • TSP(Traveling Salesman Problem)
    
  • TSP(Traveling Salesman Problem + Visualization)
  • TSP(Traveling Salesman Problem + Visualization) 2
  • IB Park's problem
  • Scheduling
• Mimitic Genetic Algorithm
  • TSP(Traveling Salesman Problem)
    
• Particle Swarm Optimization
  • Continuous problem
  • NN weights opimization
• Cuckoo Search
  • Continuous problem
  • Continuous problem + Visualization
  • TSP(Traveling Salesman Problem)
    
  • NN weights opimization
• Improved Cuckoo Search
  • TSP(Traveling Salesman Problem)
    
  • TSP(Traveling Salesman Problem + Visualization)
  • Flexible Job Shop Problem
• Gray Wolf Optimizer
  • Continuous problem
  • NN weights opimization
• Marine Predators Algorithm
  • Continuous problem
• Recurcive Fractal Search [about]
  • TSP(Traveling Salesman Problem)
• Industrial Application
  • NS SHOP+ 최적의 취급액을 가지는 방송편성표 탐색(CS)
  • ESWA - An effective GA for the FJSP(GA) [논문보기]
    

Reinforcement Learning

• Q-learning
  • IB Park's Problem(Q-table)

    A = {0,1}, len(S) = 6
    if currentState == 01010 and action == 0 : return reward+1000 elif a==0 : return reward+1 elif a==1 : return reward-1

• Deep Q-Networks
  • CartPole
  • Flow shop Scheduling

Test Function for Optimization

• Tester Module 1
  • Sphere function

    

  • Rosenbrock function

    

  • Rastrigin function function

    

• Tester Module 2
  • Booth function

    

  • Matyas function

    

  • Ackley function

    

  • Le'vi function N.13

    

  • Himmelblau's function

    

  • Beale function

    

  • Goldstein-Price function