Hybrid simplex genetic algorithm for blind equalization using RBF networks
Mathematics and Computers in Simulation
Evolving petri nets to represent metabolic pathways
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Optimal multi-thresholding using a hybrid optimization approach
Pattern Recognition Letters
Efficient hybrid methods for global continuous optimization based on simulated annealing
Computers and Operations Research
Combining simplex with niche-based evolutionary computation for job-shop scheduling
Proceedings of the 8th annual conference on Genetic and evolutionary computation
A genetic algorithm and a particle swarm optimizer hybridized with Nelder-Mead simplex search
Computers and Industrial Engineering - Special issue: Sustainability and globalization: Selected papers from the 32 nd ICC&IE
A multi-level thresholding approach using a hybrid optimal estimation algorithm
Pattern Recognition Letters
Rule extraction, complexity reduction and evolutionary optimization for fuzzy modeling
International Journal of Knowledge-based and Intelligent Engineering Systems - Soft Computing and its Applications to E-Business
A hybrid genetic algorithm and particle swarm optimization for multimodal functions
Applied Soft Computing
A hybridized approach to data clustering
Expert Systems with Applications: An International Journal
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
Assisted recombination: accelerating genetic improvements of populations in a GA
ISC '07 Proceedings of the 10th IASTED International Conference on Intelligent Systems and Control
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on human computing
Efficient hybrid methods for global continuous optimization based on simulated annealing
Computers and Operations Research
Development of the unlocking mechanisms for the complex method
Computers and Structures
Parallel Hybrid Particle Swarm Optimization and Applications in Geotechnical Engineering
ISICA '09 Proceedings of the 4th International Symposium on Advances in Computation and Intelligence
Global Simplex Optimization-A simple and efficient metaheuristic for continuous optimization
Engineering Applications of Artificial Intelligence
Collaboration and Competition Process: A Multi-Teams and Genetic Algorithm Hybrid Approach
International Journal of Artificial Life Research
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One of the main obstacles in applying genetic algorithms (GA's) to complex problems has been the high computational cost due to their slow convergence rate. We encountered such a difficulty in our attempt to use the classical GA for estimating parameters of a metabolic model. To alleviate this difficulty, we developed a hybrid approach that combines a GA with a stochastic variant of the simplex method in function optimization. Our motivation for developing the stochastic simplex method is to introduce a cost-effective exploration component into the conventional simplex method. In an attempt to make effective use of the simplex operation in a hybrid GA framework, we used an elite-based hybrid architecture that applies one simplex step to a top portion of the ranked population. We compared our approach with five alternative optimization techniques including a simplex-GA hybrid independently developed by Renders-Bersini (R-B) and adaptive simulated annealing (ASA). Our empirical evaluations showed that our hybrid approach for the metabolic modeling problem outperformed all other techniques in terms of accuracy and convergence rate. We used two additional function optimization problems to compare our approach with the five alternative methods