A Multiagent Co-Evolutionary Algorithm With Penalty-Based Objective for Network-Based Distributed Optimization.
Tai-You ChenWei-Neng ChenXiao-Qi GuoYue-Jiao GongJun ZhangPublished in: IEEE Trans. Syst. Man Cybern. Syst. (2024)
Keyphrases
- evolutionary algorithm
- multi agent
- optimization problems
- function optimization
- cooperative
- evolution strategy
- optimization method
- multiple objectives
- multi objective optimization
- differential evolution
- multi objective
- evolutionary strategy
- evolutionary computation
- multiagent systems
- distributed systems
- global optimization
- mutation operator
- objective function
- fitness function
- optimization algorithm
- genetic programming
- penalty function
- optimization methods
- evolutionary search
- hybrid evolutionary algorithm
- genetic operators
- particle swarm
- simulated annealing
- genetic algorithm
- autonomy oriented computing
- crossover operator
- computer networks
- peer to peer
- multi agent systems
- constrained optimization
- optimization model
- test problems
- optimization process
- communication cost
- single agent
- distributed environment
- combinatorial optimization
- autonomous agents
- distributed constraint optimization