Commentary on: "STOA: A bio-inspired based optimization algorithm for industrial engineering problems" [EAAI, 82 (2019), 148-174] and "Tunicate Swarm Algorithm: A new bio-inspired based metaheuristic paradigm for global optimization" [EAAI, 90 (2020), no. 103541].
Jakub KudelaPublished in: Eng. Appl. Artif. Intell. (2022)
Keyphrases
- bio inspired
- global optimization
- optimization algorithm
- metaheuristic
- particle swarm optimization
- swarm intelligence
- multi objective
- engineering problems
- multiobjective optimization
- ant colony optimization
- particle swarm optimization pso
- multi start
- pso algorithm
- artificial bee colony
- optimization method
- global optima
- nature inspired
- tabu search
- scatter search
- differential evolution
- harmony search
- genetic algorithm
- evolutionary algorithm
- combinatorial optimization problems
- multi objective optimization
- vehicle routing problem
- nsga ii
- path relinking
- particle swarm optimization algorithm
- combinatorial optimization
- optimization problems
- simulated annealing
- particle swarm
- collective intelligence
- ant colony algorithm
- honey bee
- convergence speed
- multiple objectives
- premature convergence
- artificial neural networks
- engineering design
- hybrid algorithm
- biological systems
- objective function
- neural network
- ant colonies
- solution space
- greedy randomized adaptive search procedure
- search space
- particle swarm optimisation
- traveling salesman problem
- bp neural network
- artificial immune system
- evolutionary computation
- control system
- aco algorithm
- crossover operator
- global search