Journal ArticleDOI
Primary study of spiral dynamics inspired optimization
Kenichi Tamura,Keiichiro Yasuda +1 more
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TLDR
In this article, a two-dimensional metaheuristic called spiral optimization is proposed, which utilizes a feature of the logarithmic spiral, and the simulation results show the effectiveness and potential of the proposed method.Abstract:
Logarithmic spiral phenomena are often appeared in nature. In this letter, we show that a logarithmic spiral can realize an effective strategy regarding the metaheuristics and propose a new two-dimensional metaheuristics called spiral optimization utilizing a feature of the logarithmic spiral. The simulation results for two-dimensional benchmark problems show the effectiveness and the potential of the proposed method. © 2010 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.read more
Citations
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Manta ray foraging optimization: An effective bio-inspired optimizer for engineering applications
TL;DR: The comparison results on the benchmark functions suggest that MRFO is far superior to its competitors, and the real-world engineering applications show the merits of this algorithm in tackling challenging problems in terms of computational cost and solution precision.
Journal ArticleDOI
Atom search optimization and its application to solve a hydrogeologic parameter estimation problem
TL;DR: A novel physics-inspired metaheuristic optimization algorithm, atom search optimization (ASO), inspired by basic molecular dynamics, is developed to address a diverse set of optimization problems.
Journal ArticleDOI
Artificial ecosystem-based optimization: a novel nature-inspired meta-heuristic algorithm
TL;DR: The overall comparisons suggest that the optimization performance of AEO outperforms that of other state-of-the-art counterparts, especially for real-world engineering problems, and is more competitive than other reported methods in terms of both convergence rate and computational efforts.
Journal ArticleDOI
Tree Growth Algorithm (TGA)
TL;DR: The Tree Growth Algorithm (TGA) is presented as a novel method with different approach to address optimization tasks, inspired by trees competition for acquiring light and foods and compared with well-known optimization algorithms showed the superiority of TGA in these problems.
Journal ArticleDOI
A new metaheuristic for optimization
TL;DR: Comparisons on benchmark test functions and a real world engineering design application demonstrate that the new algorithms are efficient and compete better than or similar to most of state of the art optimization algorithms with the advantage of accepting few input parameters.
References
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Book
The Golden Ratio: The Story of Phi, the World's Most Astonishing Number
TL;DR: Jeanneret and Ozenfant as discussed by the authors introduced a new proportional system called the Modulor, which was supposed to provide a harmonic measure to the human scale, universally applicable to architecture and mechanics.
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