Please enable JavaScript.
Coggle requires JavaScript to display documents.
Optimisation (Solvers (Stochastic (Random Search, Tabu Search, Adaptive…
Optimisation
Solvers
Stochastic
Random Search
Tabu Search
Adaptive Random Search
Stochastic Hill Climbing
Iterated Local Search
Guided Local Search
Variable Neighborhood Search
Greedy Randomized Adaptive Search
Scatter Search
Reactive Tabu Search
Evolutionary Algorithms
Genetic Programming
Evolution Strategies
Differential Evolution
Evolutionary Programming
Grammatical Evolution
Gene Expression Programming
Genetic Algorithm
Learning classifier system
Non-dominated sorting Genetic Algorithm
Strength Pareto Evolutionary Algorithm
Physical
Simulated Annealing
Extremal Optimization
Harmony Search
Cultural Algorithm
Memetic Algorithm
Probabilistic Algorithms
Population-based Incremental learning
Univariate Marginal Distribution Algorithm
Compact Genetic Algorithm
Bayesian Optimization Algorithm
Cross Entropy Method
Swarm Algorithms
Particle Swarm Optimization
Ant System
Ant Colony System
Bees Algorithm
Bacterial Foraging Optimization Algorithm
Artificial Bee Colony
Immune Algorithms
Clonal Selection Algorithm
Negative Selection Algorithm
Artificial Immune Recognition system
Immune Network Algorithm
Dendritic Cell Algorithm
Problems
TSP
Knapsack
Scheduling
BinPacking
Timetabling
Realisations
Diversity is strength
There is more than one search space being navigated when solving optimisation problems
Benchmarks
One Max