Genetic algorithm for non-linear mixed integer programming problems and its applications
Computers and Industrial Engineering
A Taxonomy of Evolutionary Algorithms in Combinatorial Optimization
Journal of Heuristics
Journal of Global Optimization
A combined heuristic optimization technique
Advances in Engineering Software - Special issue on evolutionary optimization of engineering problems
Differential evolution approach for optimal reactive power dispatch
Applied Soft Computing
Cooperative co-evolutionary differential evolution for function optimization
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part II
System design by constraint adaptation and differential evolution
IEEE Transactions on Evolutionary Computation
A tutorial for competent memetic algorithms: model, taxonomy, and design issues
IEEE Transactions on Evolutionary Computation
Accelerating Differential Evolution Using an Adaptive Local Search
IEEE Transactions on Evolutionary Computation
A novel modified differential evolution algorithm for constrained optimization problems
Computers & Mathematics with Applications
Harmony search with differential mutation based pitch adjustment
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Differential evolution-based nonlinear system modeling using a bilinear series model
Applied Soft Computing
A differential evolution algorithm with intersect mutation operator
Applied Soft Computing
Engineering Applications of Artificial Intelligence
Three improved hybrid metaheuristic algorithms for engineering design optimization
Applied Soft Computing
Exploration and exploitation in evolutionary algorithms: A survey
ACM Computing Surveys (CSUR)
Adaptive Memetic Differential Evolution with Global and Local neighborhood-based mutation operators
Information Sciences: an International Journal
A real-integer-discrete-coded differential evolution
Applied Soft Computing
International Journal of Metaheuristics
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This paper presents two hybrid differential evolution algorithms for optimizing engineering design problems. One hybrid algorithm enhances a basic differential evolution algorithm with a local search operator, i.e., random walk with direction exploitation, to strengthen the exploitation ability, while the other adding a second metaheuristic, i.e., harmony search, to cooperate with the differential evolution algorithm so as to produce the desirable synergetic effect. For comparison, the differential evolution algorithm that the two hybrids are based on is also implemented. All algorithms incorporate a generalized method to handle discrete variables and Deb's parameterless penalty method for handling constraints. Fourteen engineering design problems selected from different engineering fields are used for testing. The test results show that: (i) both hybrid algorithms overall outperform the differential evolution algorithms; (ii) among the two hybrid algorithms, the cooperative hybrid overall outperforms the other hybrid with local search; and (iii) the performance of proposed hybrid algorithms can be further improved with some effort of tuning the relevant parameters.