Practical methods of optimization; (2nd ed.)
Practical methods of optimization; (2nd ed.)
Global optimization
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation
Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation
The equation for response to selection and its use for prediction
Evolutionary Computation
A hybrid heuristic for the maximum clique problem
Journal of Heuristics
Human evolutionary model: A new approach to optimization
Information Sciences: an International Journal
Application of adaptive control to the fluctuation of engine speed at idle
Information Sciences: an International Journal
Adaptive evolutionary programming based on reinforcement learning
Information Sciences: an International Journal
Opposition versus randomness in soft computing techniques
Applied Soft Computing
Large scale evolutionary optimization using cooperative coevolution
Information Sciences: an International Journal
A Generalized Differential Evolution Combined with EDA for Multi-objective Optimization Problems
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence
SRDE: an improved differential evolution based on stochastic ranking
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
IEEE Transactions on Evolutionary Computation - Special issue on computational finance and economics
A hybrid immune-estimation distribution of algorithm for mining thyroid gland data
Expert Systems with Applications: An International Journal
Enhancing differential evolution frameworks by scale factor local search: part II
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Varying number of difference vectors in differential evolution
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Information Sciences: an International Journal
Computational intelligence approach to PID controller design using the universal model
Information Sciences: an International Journal
Differential evolution with a local search operator
CAR'10 Proceedings of the 2nd international Asia conference on Informatics in control, automation and robotics - Volume 2
Differential evolution based on adaptive mutation
CAR'10 Proceedings of the 2nd international Asia conference on Informatics in control, automation and robotics - Volume 3
A clustering-based differential evolution for global optimization
Applied Soft Computing
ICIC'10 Proceedings of the 6th international conference on Advanced intelligent computing theories and applications: intelligent computing
Information Sciences: an International Journal
Self-adaptive learning based particle swarm optimization
Information Sciences: an International Journal
Adaptive learning differential evolution for numeric optimization
ICSI'11 Proceedings of the Second international conference on Advances in swarm intelligence - Volume Part I
Evaluation of two-stage ensemble evolutionary algorithm for numerical optimization
ICSI'11 Proceedings of the Second international conference on Advances in swarm intelligence - Volume Part I
Enhancing the search ability of differential evolution through orthogonal crossover
Information Sciences: an International Journal
Self-adaptive randomized and rank-based differential evolution for multimodal problems
Journal of Global Optimization
A hybrid estimation of distribution algorithm for CDMA cellular system design
SEAL'06 Proceedings of the 6th international conference on Simulated Evolution And Learning
Entropy-based efficiency enhancement techniques for evolutionary algorithms
Information Sciences: an International Journal
ICSI'10 Proceedings of the First international conference on Advances in Swarm Intelligence - Volume Part I
Estimation of particle swarm distribution algorithms: Combining the benefits of PSO and EDAs
Information Sciences: an International Journal
Introducing intervention targeting into estimation of distribution algorithms
Proceedings of the 27th Annual ACM Symposium on Applied Computing
A review on probabilistic graphical models in evolutionary computation
Journal of Heuristics
A region-based quantum evolutionary algorithm (RQEA) for global numerical optimization
Journal of Computational and Applied Mathematics
Two-stage ensemble memetic algorithm: Function optimization and digital IIR filter design
Information Sciences: an International Journal
Information Sciences: an International Journal
Adaptive population tuning scheme for differential evolution
Information Sciences: an International Journal
Fixed-point digital IIR filter design using two-stage ensemble evolutionary algorithm
Applied Soft Computing
A bio inspired estimation of distribution algorithm for global optimization
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part III
International Journal of Applied Evolutionary Computation
Expert Systems with Applications: An International Journal
Three improved hybrid metaheuristic algorithms for engineering design optimization
Applied Soft Computing
An intelligent multi-restart memetic algorithm for box constrained global optimisation
Evolutionary Computation
A hybrid algorithm for constrained portfolio selection problems
Applied Intelligence
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Differential evolution (DE) was very successful in solving the global continuous optimization problem. It mainly uses the distance and direction information from the current population to guide its further search. Estimation of distribution algorithm (EDA) samples new solutions from a probability model which characterizes the distribution of promising solutions. This paper proposes a combination of DE and EDA (DE/EDA) for the global continuous optimization problem. DE/EDA combines global information extracted by EDA with differential information obtained by DE to create promising solutions. DE/EDA has been compared with the best version of the DE algorithm and an EDA on several commonly utilized test problems. Experimental results demonstrate that DE/EDA outperforms the DE algorithm and the EDA. The effect of the parameters of DE/EDA to its performance is investigated experimentally.