A heuristic particle swarm optimizer for optimization of pin connected structures
Computers and Structures
A Novel Hybrid Real-Valued Genetic Algorithm for Optimization Problems
CIS '07 Proceedings of the 2007 International Conference on Computational Intelligence and Security
IPC '07 Proceedings of the The 2007 International Conference on Intelligent Pervasive Computing
Ecological optimization using harmony search
MATH'08 Proceedings of the American Conference on Applied Mathematics
A Hybrid Optimization Method for Fuzzy Classification Systems
HIS '08 Proceedings of the 2008 8th International Conference on Hybrid Intelligent Systems
Hybrid algorithms based on harmony search and differential evolution for global optimization
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
Self-adaptive harmony search algorithm for optimization
Expert Systems with Applications: An International Journal
A harmony search algorithm with ensemble of parameter sets
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Computer Aided Systems Theory - EUROCAST 2009
Optimal scheduling of multiple dam system using harmony search algorithm
IWANN'07 Proceedings of the 9th international work conference on Artificial neural networks
Harmony search algorithm for solving Sudoku
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part I
ICIC'09 Proceedings of the Intelligent computing 5th international conference on Emerging intelligent computing technology and applications
Engineering Applications of Artificial Intelligence
A Self-Adaptive Harmony Search Algorithm for Engineering and Reliability Problems
CIMSIM '10 Proceedings of the 2010 Second International Conference on Computational Intelligence, Modelling and Simulation
Dynamic multi-swarm particle swarm optimizer with harmony search
Expert Systems with Applications: An International Journal
Review Article: Solving 0-1 knapsack problem by a novel global harmony search algorithm
Applied Soft Computing
Self-adaptive learning based particle swarm optimization
Information Sciences: an International Journal
A multi-objective binary harmony search algorithm
ICSI'11 Proceedings of the Second international conference on Advances in swarm intelligence - Volume Part II
Harmony search in water pump switching problem
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part III
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Hybridising harmony search with a Markov blanket for gene selection problems
Information Sciences: an International Journal
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Harmony Search (HS), inspired by the music improvisation process, is a new meta-heuristic optimization method and has been successfully used to tackle the optimization problems in discrete or continuous space. Although the standard HS algorithm is able to solve binary-coded optimization problems, the pitch adjustment operator of HS is degenerated in the binary space, which spoils the performance of the algorithm. Based on the analysis of the drawback of the standard HS, an improved adaptive binary Harmony Search (ABHS) algorithm is proposed in this paper to solve the binary-coded problems more effectively. Various adaptive mechanisms are examined and investigated, and a scalable adaptive strategy is developed for ABHS to enhance its search ability and robustness. The experimental results on the benchmark functions and 0-1 knapsack problems demonstrate that the proposed ABHS is efficient and effective, which outperforms the binary Harmony Search, the novel global Harmony Search algorithm and the discrete binary Particle Swarm Optimization in terms of the search accuracy and convergence speed.