A Meta-Heuristic Based on Simulated Annealing for Solving Multiple-Objective Problems in Simulation Optimization.
Eduardo Alberto AvelloFelipe F. BaeslerReinaldo J. MoragaPublished in: WSC (2004)
Keyphrases
- multiple objectives
- linear programming problems
- simulated annealing
- problems involving
- combinatorial optimization
- optimization problems
- multi objective
- solving complex
- multi objective problems
- shortest path problem
- mathematical programming
- convex optimization problems
- solving problems
- constrained optimization
- conflicting objectives
- decision variables
- discrete optimization
- evolutionary algorithm
- continuous optimization
- benchmark problems
- optimization method
- global optimization problems
- engineering design problems
- stochastic search
- nonlinear programming
- efficient algorithms for solving
- combinatorial optimization problems
- tabu search
- optimization algorithm
- linear programming
- lagrange multipliers
- bi objective
- efficient solutions
- quadratic programming
- test problems
- genetic algorithm