Group search optimizer: a nature-inspired meta-heuristic optimization algorithm with its results, variants, and applications.
Laith Mohammad AbualigahPublished in: Neural Comput. Appl. (2021)
Keyphrases
- optimization algorithm
- metaheuristic
- nature inspired
- search space
- ant colony optimization
- optimization method
- solution space
- multi objective
- tabu search
- simulated annealing
- harmony search
- path relinking
- optimization problems
- search procedures
- artificial bee colony
- combinatorial optimization
- scatter search
- differential evolution
- particle swarm optimization pso
- search procedure
- combinatorial optimization problems
- particle swarm optimization
- search algorithm
- optimal solution
- genetic algorithm
- ant colonies
- greedy randomized adaptive search procedure
- swarm intelligence
- search strategy
- bp neural network
- hill climbing
- vehicle routing problem
- control parameters
- evolutionary algorithm
- hyper heuristics
- benchmark problems
- constraint satisfaction problems
- neural network
- cost function
- ant colony optimization algorithm
- traveling salesman problem
- pso algorithm
- multiobjective optimization
- particle swarm
- global search
- hybrid algorithm
- test problems