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The searching process for the optimal value of swarm intelligence optimization does not require the solution set differentiable or even continuous.
It is a highly interdisciplinary field building upon ideas from many different kinds of fields such as artificial intelligence, optimization theory, information theory, statistics, cognitive science, optimal control, and many other disciplines of science, engineering, and mathematics [15 18].
We employ a cross-validation (CV) procedure and FOA swarm intelligence optimization strategy that can search available parameters and determine the optimal imputation model.
In this study, an effective approach based on genetic algorithm (GA), swarm intelligence optimization and finite element method (FEM) was implemented in order to model and optimize the process conditions of Al Matrix nano-composites.
Artificial intelligence optimization algorithms are often adopted for microgrids.
Glowworm swarm optimization (GSO) is a new swarm intelligence optimization algorithm [15].
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The ABC algorithm is swarm intelligence based optimization technique inspired by the intelligent foraging behavior of honeybees.
Her research interests include electronic commerce, artificial intelligence, and optimization.
Ant colony is a simple yet efficient natural system for understanding the effects of primary intelligence on optimization.
The BCO model is a new generic swamp intelligence (SI) optimization technology, which achieves the effective labor employment and energy consumption through a distributed multi-agent model.
This limitation had led the researchers to explore the application of artificial intelligence based optimization algorithms for obtaining the global minima solution for relay coordination problems.
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