An Improved Harmony Search Algorithm with Differential Mutation Operator
Fundamenta Informaticae - Swarm Intelligence
Dynamic economic load dispatch with wind energy using modified harmony search
International Journal of Bio-Inspired Computation
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
Dynamic regional harmony search with opposition and local learning
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
A coevolutionary differential evolution with harmony search for reliability-redundancy optimization
Expert Systems with Applications: An International Journal
Structural and Multidisciplinary Optimization
Data clustering using harmony search algorithm
SEMCCO'11 Proceedings of the Second international conference on Swarm, Evolutionary, and Memetic Computing - Volume Part II
Reconfiguration of distribution systems for loss reduction using the harmony search algorithm
SEMCCO'11 Proceedings of the Second international conference on Swarm, Evolutionary, and Memetic Computing - Volume Part I
Towards a numerical, agent-based, behaviour analysis: the case of tourism
ADMI'11 Proceedings of the 7th international conference on Agents and Data Mining Interaction
Ensemble pruning using harmony search
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part II
Optimal synthesis of linear antenna arrays using a harmony search algorithm
Expert Systems with Applications: An International Journal
An Optimum-Path Forest framework for intrusion detection in computer networks
Engineering Applications of Artificial Intelligence
An Improved Harmony Search Algorithm with Differential Mutation Operator
Fundamenta Informaticae - Swarm Intelligence
A distributed agent-based approach for simulation-based optimization
Advanced Engineering Informatics
Efficient stochastic algorithms for document clustering
Information Sciences: an International Journal
Engineering Applications of Artificial Intelligence
International Journal of Applied Metaheuristic Computing
A survey of non-gradient optimization methods in structural engineering
Advances in Engineering Software
Malware detection by pruning of parallel ensembles using harmony search
Pattern Recognition Letters
Computers and Electronics in Agriculture
Line ordering of reversible circuits for linear nearest neighbor realization
Quantum Information Processing
A wrapper approach for feature selection based on Bat Algorithm and Optimum-Path Forest
Expert Systems with Applications: An International Journal
Population-based harmony search using GPU applied to protein structure prediction
International Journal of Computational Science and Engineering
An optimization algorithm inspired by musical composition
Artificial Intelligence Review
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Calculus has been used in solving many scientific and engineering problems. For optimization problems, however, the differential calculus technique sometimes has a drawback when the objective function is step-wise, discontinuous, or multi-modal, or when decision variables are discrete rather than continuous. Thus, researchers have recently turned their interests into metaheuristic algorithms that have been inspired by natural phenomena such as evolution, animal behavior, or metallic annealing. This book especially focuses on a music-inspired metaheuristic algorithm, harmony search. Interestingly, there exists an analogy between music and optimization: each musical instrument corresponds to each decision variable; musical note corresponds to variable value; and, harmony corresponds to solution vector. Just like musicians in Jazz improvisation play notes randomly or based on experiences in order to find fantastic harmony, variables in the harmony search algorithm have random values or previously-memorized good values in order to find optimal solution.