MOICA: A novel multi-objective approach based on imperialist competitive algorithm
- 1 May 2013
- journal article
- Published by Elsevier in Applied Mathematics and Computation
- Vol. 219 (17), 8829-8841
- https://doi.org/10.1016/j.amc.2013.03.099
Abstract
No abstract availableThis publication has 22 references indexed in Scilit:
- A swarm intelligence approach to the early/tardy scheduling problemSwarm and Evolutionary Computation, 2012
- Multiple Swarms Multi-Objective Particle Swarm Optimization Based on DecompositionProcedia Engineering, 2011
- Comparisons of some improving strategies on MOPSO for multi-objective (r,Q) inventory systemExpert Systems with Applications, 2011
- Improved framework for particle swarm optimization: Swarm intelligence with diversity-guided random walkingExpert Systems with Applications, 2011
- Precast production scheduling using multi-objective genetic algorithmsExpert Systems with Applications, 2011
- Optimum design of skeletal structures using imperialist competitive algorithmComputers & Structures, 2010
- Application of an imperialist competitive algorithm to the design of a linear induction motorEnergy Conversion and Management, 2010
- Multi-objective genetic local search algorithm using Kohonen's neural mapComputers & Industrial Engineering, 2009
- A fast and elitist multiobjective genetic algorithm: NSGA-IIIEEE Transactions on Evolutionary Computation, 2002
- Comparison of Multiobjective Evolutionary Algorithms: Empirical ResultsEvolutionary Computation, 2000