Evolutionary algorithm hybridized with local search and intelligent seeding for solving multi-objective Euclidian TSP.
Anubha AgrawalNitish GhuneShiv PrakashManojkumar RamtekePublished in: Expert Syst. Appl. (2021)
Keyphrases
- evolutionary algorithm
- multi objective
- combinatorial optimization
- optimization problems
- genetic algorithm
- simulated annealing
- particle swarm optimization
- memetic algorithm
- traveling salesman problem
- search heuristics
- multi objective optimization
- hybrid evolutionary algorithm
- evolutionary computation
- crossover operator
- metaheuristic
- evolutionary search
- global search
- optimization algorithm
- genetic algorithm ga
- job shop scheduling problem
- fitness function
- initial population
- multiobjective optimization
- differential evolution
- search procedure
- tabu search
- ant colony optimization
- genetic programming
- multi objective optimization problems
- function optimization
- genetic operators
- search space
- nsga ii
- systematic search
- mutation operator
- branch and bound algorithm
- pareto optimal
- multiple objectives
- intelligent systems
- bi objective
- evolution strategy
- particle swarm
- particle swarm optimization algorithm
- branch and bound
- search algorithm
- vehicle routing problem
- multi objective evolutionary
- simulated annealing and tabu search
- pso algorithm
- evolutionary strategy
- global optimization
- particle swarm optimisation
- benchmark problems
- trade off
- knapsack problem
- travelling salesman
- neural network