Swarm intelligence
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Introduction to Evolutionary Computing
Introduction to Evolutionary Computing
Comparison among five evolutionary-based optimization algorithms
Advanced Engineering Informatics
Memetic Collaborative Filtering Based Recommender System
VCON '10 Proceedings of the 2010 Second Vaagdevi International Conference on Information Technology for Real World Problems
Evolutionary programming made faster
IEEE Transactions on Evolutionary Computation
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This paper presents improved shuffled frog leaping algorithm ISFLA with controlled random search behaviour. The work proposes adaptation of random solution generation rule with control parameter to manage the direction of search in conventional SFLA. To evaluate the effectiveness of ISFLA, it has been compared with respect to GA, MA, PSO and SFLA for large dimensions-100, 500 and 1,000 over benchmark test problems using SEVO toolbox. Results depict that ISFLA performs considerably better for all benchmark problems. Results also demonstrated the utility and simplicity of SEVO toolbox for simulating new algorithms. ANOVA test substantiated the statistical significance of the obtained results.