`` Direct Search'' Solution of Numerical and Statistical Problems
Journal of the ACM (JACM)
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
On the Convergence of Pattern Search Algorithms
SIAM Journal on Optimization
Pattern Search Methods for Linearly Constrained Minimization
SIAM Journal on Optimization
Analysis of Generalized Pattern Searches
SIAM Journal on Optimization
Job Shop Scheduling with Genetic Algorithms
Proceedings of the 1st International Conference on Genetic Algorithms
Multidirectional search: a direct search algorithm for parallel machines
Multidirectional search: a direct search algorithm for parallel machines
Pattern search algorithms for mixed variable general constrained optimization problems
Pattern search algorithms for mixed variable general constrained optimization problems
Facilitating efficient Mars terrain image classification with fuzzy-rough feature selection
International Journal of Hybrid Intelligent Systems - Rough and Fuzzy Methods for Data Mining
An algorithm for solving fuzzy maximal flow problems using generalized triangular fuzzy numbers
International Journal of Hybrid Intelligent Systems - Rough and Fuzzy Methods for Data Mining
A novel possibilistic fuzzy leader clustering algorithm
International Journal of Hybrid Intelligent Systems - Rough and Fuzzy Methods for Data Mining
Impact of static and adaptive mutation techniques on the performance of Genetic Algorithm
International Journal of Hybrid Intelligent Systems
International Journal of Hybrid Intelligent Systems
An integration of fuzzy inference systems and Genetic Algorithms for Wireless Sensor Networks
International Journal of Hybrid Intelligent Systems
A new hybrid fuzzy biometric-based image authentication model
International Journal of Hybrid Intelligent Systems
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Intelligent computing has attracted many scientists, decision makers, and practicing researchers in recent years as powerful and novel intelligent techniques for solving unlimited number of complex real-world problems, particularly related to research area of optimization. Under the unpredictable and fuzzy environment, classical and traditional approaches are unable to obtain a complete solution with satisfaction for the practical optimization problems. Therefore, new global optimization methods are required to properly handle these issues. One of such methods is hybrid evolutionary computation, which is a generic, flexible, robust, and versatile method for solving the complex global optimization problems as well as implementing to practical applications.