A Template Approach to Producing Incremental Objective Cost Functions for Local Search Meta-heuristics.
Marcus RandallPublished in: EvoWorkshops (2003)
Keyphrases
- metaheuristic
- tabu search
- cost function
- simulated annealing
- combinatorial optimization
- search space
- iterated local search
- optimization problems
- optimal solution
- genetic algorithm
- ant colony optimization
- multi start
- simulated annealing and tabu search
- guided local search
- scatter search
- memetic algorithm
- search space reduction
- path relinking
- combinatorial optimization problems
- greedy randomized adaptive search procedure
- benchmark instances
- search methods
- combinatorial problems
- vehicle routing problem
- aco algorithm
- particle swarm optimization
- search procedure
- search procedures
- traveling salesman problem
- hybrid algorithms
- global search
- job shop scheduling problem
- nature inspired
- optimization method
- search algorithm
- knapsack problem
- evolutionary algorithm
- heuristic methods
- specific problems
- branch and bound
- hill climbing
- neural network
- feasible solution
- scheduling problem
- np hard
- benchmark problems
- set of benchmark instances