Bat algorithm for multi-objective optimisation
International Journal of Bio-Inspired Computation
An approach of ant algorithm for solving minimum routing cost spanning tree problem
Proceedings of the Second Symposium on Information and Communication Technology
Expert Systems with Applications: An International Journal
A hybrid CS/PSO algorithm for global optimization
ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part III
Modified Adaptive Cuckoo Search (MACS) algorithm and formal description for global optimisation
International Journal of Computer Applications in Technology
Automatic nuclei detection on cytological images using the firefly optimization algorithm
ITIB'12 Proceedings of the Third international conference on Information Technologies in Biomedicine
Software test effort estimation: a model based on cuckoo search
International Journal of Bio-Inspired Computation
Real-world simulation-based manufacturing optimization using Cuckoo search
Proceedings of the Winter Simulation Conference
A web-based platform for the simulation-optimization of industrial problems
Computers and Industrial Engineering
A Concurrent Modelling to Generate Alternatives Approach Using the Firefly Algorithm
International Journal of Decision Support System Technology
Power law-based local search in differential evolution
International Journal of Computational Intelligence Studies
International Journal of Automation and Computing
International Journal of Metaheuristics
A hybrid cuckoo search and genetic algorithm for reliability-redundancy allocation problems
Computers and Industrial Engineering
Neurocomputing
Advances in Engineering Software
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Novel approaches for classification based on Cuckoo Search Strategy
International Journal of Hybrid Intelligent Systems
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Modern metaheuristic algorithms such as particle swarm optimization and cuckoo search start to demonstrate their power in dealing with tough optimization problems and even NP-hard problems. This book reviews and introduces the state-of-the-art nature-inspired metaheuristic algorithms for global optimization, including ant and bee algorithms, bat algorithm, cuckoo search, differential evolution, firefly algorithm, genetic algorithms, harmony search, particle swarm optimization, simulated annealing and support vector machines. In this revised edition, we also include how to deal with nonlinear constraints. Worked examples with implementation have been used to show how each algorithm works. This book is thus an ideal textbook for an undergraduate and/or graduate course as well as for self study. As some of the algorithms such as the cuckoo search and firefly algorithms are at the forefront of current research, this book can also serve as a reference for researchers.