Application and Development of Enhanced Chaotic Grasshopper Optimization Algorithms
In recent years, metaheuristic algorithms have revolutionized the world with their better problem solving capacity. Any metaheuristic algorithm has two phases: exploration and exploitation. The ability of the algorithm to solve a difficult optimization problem depends upon the efficacy of these two...
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Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Wiley
2018-01-01
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Series: | Modelling and Simulation in Engineering |
Online Access: | http://dx.doi.org/10.1155/2018/4945157 |
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