Genetic algorithm for non-linear mixed integer programming problems and its applications
Computers and Industrial Engineering
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Multi-Objective Optimization Using Evolutionary Algorithms
Multi-Objective Optimization Using Evolutionary Algorithms
Journal of Global Optimization
A combined heuristic optimization technique
Advances in Engineering Software - Special issue on evolutionary optimization of engineering problems
Differential Evolution: A Practical Approach to Global Optimization (Natural Computing Series)
Differential Evolution: A Practical Approach to Global Optimization (Natural Computing Series)
A discrete differential evolution algorithm for the permutation flowshop scheduling problem
Computers and Industrial Engineering
Hybrid-Coding Binary Differential Evolution Algorithm with Application to 0-1 Knapsack Problems
CSSE '08 Proceedings of the 2008 International Conference on Computer Science and Software Engineering - Volume 01
A novel hybrid discrete differential evolution algorithm for blocking flow shop scheduling problems
Computers and Operations Research
Two hybrid differential evolution algorithms for engineering design optimization
Applied Soft Computing
Information Sciences: an International Journal
A real-integer-discrete-coded particle swarm optimization for design problems
Applied Soft Computing
Graph partitioning by multi-objective real-valued metaheuristics: A comparative study
Applied Soft Computing
A real-integer-discrete-coded differential evolution algorithm: a preliminary study
EvoCOP'10 Proceedings of the 10th European conference on Evolutionary Computation in Combinatorial Optimization
A binary-real-coded differential evolution for unit commitment problem: a preliminary study
MIWAI'11 Proceedings of the 5th international conference on Multi-Disciplinary Trends in Artificial Intelligence
A fast and elitist multiobjective genetic algorithm: NSGA-II
IEEE Transactions on Evolutionary Computation
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The successful application of the real-coded differential evolution (DE) to a wide range of real-valued problems has motivated researchers to investigate its potentiality to integer and discrete valued problems. In most of such works, a real-valued solution is converted into a desired integer-valued solution by applying some posterior decoding mechanisms. Only a limited number of works are found, in which attempts are made for developing an actual integer-coded DE. In this article, such a DE is presented which can work directly with real, integer and discrete variables of a problem without any conversion. In the computational experiments carried out with a set of test problems taken from literature, the DE improved several previously known best solutions, as well as outperformed some similar proposals in most of the cases.