A fast algorithm for constructing Delaunay triangulations in the plane
Advances in Engineering Software
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Automated reasoning with contour maps
Computers & Geosciences
Concepts of use in contour map processing
Communications of the ACM
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
A multipopulation genetic algorithm aimed at multimodal optimization
Advances in Engineering Software
Pre-registration of arbitrarily oriented 3D surfaces using a genetic algorithm
Pattern Recognition Letters - Special issue: Evolutionary computer vision and image understanding
Genetic algorithm for the personnel assignment problem with multiple objectives
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
Genetic algorithms to solve the cover printing problem
Computers and Operations Research
A multi-objective genetic local search algorithm and itsapplication to flowshop scheduling
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Pseudocoevolutionary genetic algorithms for power electronic circuits optimization
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
An orthogonal genetic algorithm with quantization for globalnumerical optimization
IEEE Transactions on Evolutionary Computation
A robust stochastic genetic algorithm (StGA) for global numerical optimization
IEEE Transactions on Evolutionary Computation
Clustering-Based Adaptive Crossover and Mutation Probabilities for Genetic Algorithms
IEEE Transactions on Evolutionary Computation
Evolutionary parallel local search for function optimization
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Evolutionary learning of BMF fuzzy-neural networks using a reduced-form genetic algorithm
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Classification of adaptive memetic algorithms: a comparative study
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A new genetic algorithm for the set k-cover problem in wireless sensor networks
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
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Genetic algorithms (GAs) are classical evolutionary computation methods, which have a wild application prospect. This paper proposes an improved genetic algorithm, named the isoline genetic algorithm (IGA), for numerical optimization. The proposed algorithm utilizes the population to model isolines of fitness in the search space. These isolines can be used to depict the fitness landscape in the current search area and direct the search process. IGA predicts the location of the peak by calculating the centroids of isolines, which will be probabilistically accepted into the population. Numerical experiments on thirteen benchmark functions reveal the effectiveness and efficiency of IGA. The experimental results indicate improvements in both convergence speed and solution accuracy.