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Adaptation in natural and artificial systems
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Evolutionary computation: toward a new philosophy of machine intelligence
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Swarm intelligence
Evolution and Optimum Seeking: The Sixth Generation
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Evolutionary Algorithms in Management Applications
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Optimality Models in Behavioral Biology
SIAM Review
Global Optimization with Polynomials and the Problem of Moments
SIAM Journal on Optimization
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Scaling Up Evolutionary Programming Algorithms
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The Advantages of Evolutionary Computation
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Benchmarking Least Squares Support Vector Machine Classifiers
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IEEE Transactions on Evolutionary Computation
Evolutionary programming made faster
IEEE Transactions on Evolutionary Computation
Synthesizing a predatory search strategy for VLSI layouts
IEEE Transactions on Evolutionary Computation
Evolutionary ensembles with negative correlation learning
IEEE Transactions on Evolutionary Computation
Optimization based on bacterial chemotaxis
IEEE Transactions on Evolutionary Computation
Inducing oblique decision trees with evolutionary algorithms
IEEE Transactions on Evolutionary Computation
Society and civilization: An optimization algorithm based on the simulation of social behavior
IEEE Transactions on Evolutionary Computation
Cooperative coevolution of artificial neural network ensembles for pattern classification
IEEE Transactions on Evolutionary Computation
Particle Swarm Optimization: Basic Concepts, Variants and Applications in Power Systems
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A new evolutionary system for evolving artificial neural networks
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COVNET: a cooperative coevolutionary model for evolving artificial neural networks
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A constructive algorithm for training cooperative neural network ensembles
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Mutation-based genetic neural network
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Parameter-free deterministic global search with simplified central force optimization
ICIC'10 Proceedings of the 6th international conference on Advanced intelligent computing theories and applications: intelligent computing
Key cutting algorithm and its variants for unconstrained optimization problems
ICSI'11 Proceedings of the Second international conference on Advances in swarm intelligence - Volume Part II
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A novel group search optimizer for multi-objective optimization
Expert Systems with Applications: An International Journal
Hybrid group search optimiser with quadratic interpolation method and its application
International Journal of Wireless and Mobile Computing
A simulated annealing method based on a specialised evolutionary algorithm
Applied Soft Computing
A group search optimizer for neural network training
ICCSA'06 Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part III
Population-based dynamic scheduling optimisation for complex production process
International Journal of Computer Applications in Technology
Using QIGSO with steepest gradient descent strategy to direct orbits of chaotic systems
International Journal of Computational Science and Engineering
Group search optimizer for power system economic dispatch
ICSI'12 Proceedings of the Third international conference on Advances in Swarm Intelligence - Volume Part I
Function optimisation by learning automata
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
Simultaneous gene selection and cancer classification using a hybrid group search optimizer
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
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Group search optimiser: a brief survey
International Journal of Computing Science and Mathematics
New genetic algorithm with a maximal information coefficient based mutation
Proceedings of the 51st ACM Southeast Conference
Two-layer particle swarm optimization with intelligent division of labor
Engineering Applications of Artificial Intelligence
Adaptive cooperative particle swarm optimizer
Applied Intelligence
Particle swarm optimization with increasing topology connectivity
Engineering Applications of Artificial Intelligence
Bio-inspired optimisation for economic load dispatch: a review
International Journal of Bio-Inspired Computation
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Nature-inspired optimization algorithms, notably evolutionary algorithms (EAs), have been widely used to solve various scientific and engineering problems because of to their simplicity and flexibility. Here we report a novel optimization algorithm, group search optimizer (GSO), which is inspired by animal behavior, especially animal searching behavior. The framework is mainly based on the producer-scrounger model, which assumes that group members search either for "finding" (producer) or for "joining" (scrounger) opportunities. Based on this framework, concepts from animal searching behavior, e.g., animal scanning mechanisms, are employed metaphorically to design optimum searching strategies for solving continuous optimization problems. When tested against benchmark functions, in low and high dimensions, the GSO algorithm has competitive performance to other EAs in terms of accuracy and convergence speed, especially on high-dimensional multimodal problems. The GSO algorithm is also applied to train artificial neural networks. The promising results on three real-world benchmark problems show the applicability of GSO for problem solving.