Introductory overview: Optimization using evolutionary algorithms and other metaheuristics.
Holger R. MaierSaman RazaviZoran KapelanL. Shawn MatottJoseph R. KasprzykBryan A. TolsonPublished in: Environ. Model. Softw. (2019)
Keyphrases
- evolutionary algorithm
- optimization problems
- optimization method
- metaheuristic
- multi objective
- evolutionary computation
- evolution strategy
- simulated annealing
- evolutionary strategy
- differential evolution
- fitness function
- genetic algorithm
- multi objective optimization
- benchmark problems
- combinatorial optimization
- evolutionary search
- differential evolution algorithm
- constrained optimization problems
- optimization algorithm
- particle swarm
- optimization methods
- crossover operator
- genetic programming
- computer science
- mutation operator
- hyper heuristics
- scatter search
- multidisciplinary design optimization
- test problems
- knapsack problem
- ant colony optimization
- global search
- optimization process
- global optimization
- nature inspired algorithms
- fitness landscape
- particle swarm optimization
- objective function
- multiple objectives
- hybrid algorithms
- computational intelligence
- tabu search
- test functions
- traveling salesman problem
- estimation of distribution algorithms