Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation
Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation
The Cross Entropy Method: A Unified Approach To Combinatorial Optimization, Monte-carlo Simulation (Information Science and Statistics)
Scalable Optimization via Probabilistic Modeling: From Algorithms to Applications (Studies in Computational Intelligence)
Music-Inspired Harmony Search Algorithm: Theory and Applications
Music-Inspired Harmony Search Algorithm: Theory and Applications
Free search differential evolution
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Improved harmony search from ensemble of music players
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
Harmony search for generalized orienteering problem: best touring in China
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part III
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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Harmony Search (HS) is a new meta-heuristic algorithm imitating the music improvisation process where musicians search for a better state of harmony. In this paper, a new improvisation scheme is proposed that explicitly uses a probabilistic model of candidate solutions stored in the harmony memory. Pitch adjustment uses a probability distribution to mutate a decision variable while random selection has been replaced by generating samples from the probability distribution. The proposed scheme favors diversification in the early stages and intensification during the final stages of the search process. The performance of the proposed method is investigated and compared with a state-of-the-art HS variant and other recent methods when applied to 18 benchmark functions. The experiments conducted show that the proposed method generally outperforms the other methods when applied to the benchmark problems.