Journal Article10.1016/J.COMPSTRUC.2004.01.002
A new structural optimization method based on the harmony search algorithm
Kang-Seok Lee,Zong Woo Geem +1 more
1.2K
TL;DR: A new structural optimization method based on the harmony search (HS) meta-heuristic algorithm, which was conceptualized using the musical process of searching for a perfect state of harmony to demonstrate the effectiveness and robustness of the new method.
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About: This article is published in Computers & Structures. The article was published on 01 Apr 2004. The article focuses on the topics: Search algorithm & Random search.
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Citations
Harris hawks optimization: Algorithm and applications
Ali Asghar Heidari,Ali Asghar Heidari,Seyedali Mirjalili,Hossam Faris,Ibrahim Aljarah,Majdi Mafarja,Huiling Chen +6 more
TL;DR: The statistical results and comparisons show that the HHO algorithm provides very promising and occasionally competitive results compared to well-established metaheuristic techniques.
4.7K
An improved harmony search algorithm for solving optimization problems
TL;DR: The impacts of constant parameters on harmony search algorithm are discussed and a strategy for tuning these parameters is presented and the proposed algorithm can find better solutions when compared to HS and other heuristic or deterministic methods.
2K
Symbiotic Organisms Search: A new metaheuristic optimization algorithm
Min-Yuan Cheng,Doddy Prayogo +1 more
TL;DR: Results confirm the excellent performance of the SOS method in solving various complex numerical problems and compared with well-known optimization methods.
1.4K
African vultures optimization algorithm: A new nature-inspired metaheuristic algorithm for global optimization problems
TL;DR: The proposed African Vultures Optimization Algorithm (AVOA) is named and simulates African vultures’ foraging and navigation behaviors and indicates the significant superiority of the AVOA algorithm at a 95% confidence interval.
987
A new meta-heuristic method: Ray Optimization
Ali Kaveh,Mojtaba Khayatazad +1 more
TL;DR: A new meta-heuristic method, so-called Ray Optimization, is developed, which has a number of particles consisting of the variables of the problem considered as rays of light based on the Snell's light refraction law.
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References
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TL;DR: It is shown how the ant system (AS) can be applied to other optimization problems like the asymmetric traveling salesman, the quadratic assignment and the job-shop scheduling, and the salient characteristics-global data structure revision, distributed communication and probabilistic transitions of the AS.
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