On evolutionary exploration and exploitation
Fundamenta Informaticae
Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Swarm intelligence
Handbook of Evolutionary Computation
Handbook of Evolutionary Computation
Evolution strategies –A comprehensive introduction
Natural Computing: an international journal
Journal of Global Optimization
Evolutionary Optimization Versus Particle Swarm Optimization: Philosophy and Performance Differences
EP '98 Proceedings of the 7th International Conference on Evolutionary Programming VII
Introduction to Evolutionary Computing
Introduction to Evolutionary Computing
Differential Evolution: A Practical Approach to Global Optimization (Natural Computing Series)
Differential Evolution: A Practical Approach to Global Optimization (Natural Computing Series)
Fundamentals of Computational Swarm Intelligence
Fundamentals of Computational Swarm Intelligence
Evolutionary algorithms, homomorphous mappings, and constrained parameter optimization
Evolutionary Computation
Evolutionary algorithms for constrained parameter optimization problems
Evolutionary Computation
Music-Inspired Harmony Search Algorithm: Theory and Applications
Music-Inspired Harmony Search Algorithm: Theory and Applications
Optimal scheduling of multiple dam system using harmony search algorithm
IWANN'07 Proceedings of the 9th international work conference on Artificial neural networks
Evolutionary Computation for Modeling and Optimization
Evolutionary Computation for Modeling and Optimization
Evolutionary programming made faster
IEEE Transactions on Evolutionary Computation
Parameter control in evolutionary algorithms
IEEE Transactions on Evolutionary Computation
Stochastic ranking for constrained evolutionary optimization
IEEE Transactions on Evolutionary Computation
Microgenetic algorithms as generalized hill-climbing operators forGA optimization
IEEE Transactions on Evolutionary Computation
Quantum-Inspired Immune Clonal Algorithm for Global Optimization
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Designing fractional-order PIλDμ controller using differential harmony search algorithm
International Journal of Bio-Inspired Computation
The variants of the harmony search algorithm: an overview
Artificial Intelligence Review
Harmony search with differential mutation based pitch adjustment
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Performance assessment of foraging algorithms vs. evolutionary algorithms
Information Sciences: an International Journal
Hybrid harmony search and artificial bee colony algorithm for global optimization problems
Computers & Mathematics with Applications
Engineering Applications of Artificial Intelligence
Adaptive Memetic Differential Evolution with Global and Local neighborhood-based mutation operators
Information Sciences: an International Journal
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Harmony Search (HS) is a recently developed stochastic algorithm which imitates the music improvisation process. In this process, the musicians improvise their instrument pitches searching for the perfect state of harmony. Practical experiences, however, suggest that the algorithm suffers from the problems of slow and/or premature convergence over multimodal and rough fitness landscapes. This paper presents an attempt to improve the search performance of HS by hybridizing it with Differential Evolution (DE) algorithm. The performance of the resulting hybrid algorithm has been compared with classical HS, the global best HS, and a very popular variant of DE over a test-suite of six well known benchmark functions and one interesting practical optimization problem. The comparison is based on the following performance indices - (i) accuracy of final result, (ii) computational speed, and (iii) frequency of hitting the optima.