A socio-physics based hybrid metaheuristic for solving complex non-convex constrained optimization problems.
Ishaan R. KaleAnand J. KulkarniEfrén Mezura-MontesPublished in: CoRR (2022)
Keyphrases
- constrained optimization problems
- solving complex
- hybrid metaheuristic
- optimization problems
- metaheuristic
- problems involving
- evolutionary strategy
- evolutionary algorithm
- differential evolution
- initial population
- vehicle routing problem
- multi objective
- scatter search
- constrained optimization
- fitness function
- genetic algorithm
- ant colony optimization
- path relinking
- differential evolution algorithm
- penalty function
- tabu search
- variable neighborhood search
- crossover operator
- traveling salesman problem
- benchmark problems
- optimization algorithm
- particle swarm optimization
- global convergence
- multi objective optimization
- simulated annealing
- convergence speed
- optimization method
- mutation operator
- objective function
- hybrid algorithm
- knapsack problem
- combinatorial optimization
- evolutionary computation
- combinatorial optimization problems
- routing problem
- multiple objectives
- test problems
- convex hull
- evolution strategy
- optimization methods
- genetic programming
- nsga ii
- cost function