Evolutionary computation: toward a new philosophy of machine intelligence
Evolutionary computation: toward a new philosophy of machine intelligence
Enhanced simulated annealing for globally minimizing functions of many-continuous variables
ACM Transactions on Mathematical Software (TOMS)
Swarm intelligence
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
A hybrid approach to modeling metabolic systems using a geneticalgorithm and simplex method
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Selective regenerated particle swarm optimization for multimodal function
ACS'08 Proceedings of the 8th conference on Applied computer scince
Expert Systems with Applications: An International Journal
Application of Radial Basis Function Neural Network for Sales Forecasting
CAR '09 Proceedings of the 2009 International Asia Conference on Informatics in Control, Automation and Robotics
A particle swarm with selective particle regeneration for multimodal functions
WSEAS Transactions on Information Science and Applications
A hybrid particle swarm optimization approach with prior crossover differential evolution
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
Mathematical model and hybrid particle swarm optimization for flexible job-shop scheduling problem
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
A novel particle swarm optimizer hybridized with extremal optimization
Applied Soft Computing
A hybrid genetic algorithm with the Baldwin effect
Information Sciences: an International Journal
Chaotic maps based on binary particle swarm optimization for feature selection
Applied Soft Computing
Journal of Computational and Applied Mathematics
Hybrid optimization with improved tabu search
Applied Soft Computing
Particle swarm optimization with genetic recombination: a hybrid evolutionary algorithm
Artificial Life and Robotics
Particle swarm optimization with selective particle regeneration for data clustering
Expert Systems with Applications: An International Journal
Rosenbrock artificial bee colony algorithm for accurate global optimization of numerical functions
Information Sciences: an International Journal
A poly-hybrid PSO optimization method with intelligent parameter adjustment
Advances in Engineering Software
A new particle swarm optimization algorithm and its numerical analysis
ICSI'10 Proceedings of the First international conference on Advances in Swarm Intelligence - Volume Part I
A hybrid of particle swarm optimization and local search for multimodal functions
ICSI'10 Proceedings of the First international conference on Advances in Swarm Intelligence - Volume Part I
Integration of particle swarm optimization and genetic algorithm for dynamic clustering
Information Sciences: an International Journal
Operations Research Letters
An intelligent augmentation of particle swarm optimization with multiple adaptive methods
Information Sciences: an International Journal
Adaptive swarm optimization for locating and tracking multiple targets
Applied Soft Computing
A new iterative mutually coupled hybrid GA-PSO approach for curve fitting in manufacturing
Applied Soft Computing
Artificial bee colony algorithm and pattern search hybridized for global optimization
Applied Soft Computing
Three improved hybrid metaheuristic algorithms for engineering design optimization
Applied Soft Computing
Engineering Applications of Artificial Intelligence
Expert Systems with Applications: An International Journal
Global optimization using a genetic algorithm with hierarchically structured population
Journal of Computational and Applied Mathematics
A differential memetic algorithm
Artificial Intelligence Review
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Heuristic optimization provides a robust and efficient approach for solving complex real-world problems. The focus of this research is on a hybrid method combining two heuristic optimization techniques, genetic algorithms (GA) and particle swarm optimization (PSO), for the global optimization of multimodal functions. Denoted as GA-PSO, this hybrid technique incorporates concepts from GA and PSO and creates individuals in a new generation not only by crossover and mutation operations as found in GA but also by mechanisms of PSO. The results of various experimental studies using a suite of 17 multimodal test functions taken from the literature have demonstrated the superiority of the hybrid GA-PSO approach over the other four search techniques in terms of solution quality and convergence rates.