Journal ArticleDOI
A Hybrid Harmony Search algorithm for discrete sizing optimization of truss structure
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TLDR
This Hybrid Harmony Search (HHS) algorithm follows a new approach to improvisation: while retaining HS algorithm Harmony Memory and pitch adjustment functions, it replaces the HS algorithm randomization function with Global-best Particle Swarm Optimization (PSO) search and neighbourhood search.About:
This article is published in Automation in Construction.The article was published on 2016-09-01. It has received 121 citations till now. The article focuses on the topics: Search algorithm & Harmony search.read more
Citations
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Artificial gorilla troops optimizer: A new nature-inspired metaheuristic algorithm for global optimization problems
TL;DR: Wang et al. as mentioned in this paper proposed a new metaheuristic algorithm inspired by the collective intelligence of natural organisms in nature, called Artificial Gorilla Troops Optimizer (GTO).
Journal ArticleDOI
A novel metaheuristic optimizer inspired by behavior of jellyfish in ocean
Jui-Sheng Chou,Dinh-Nhat Truong +1 more
TL;DR: The JS algorithm was used to solve structural optimization problems, including 25- bar tower design and 582-bar tower design problems, where JS not only performed best but also required the fewest evaluations of objective functions.
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A synergy of the sine-cosine algorithm and particle swarm optimizer for improved global optimization and object tracking
TL;DR: Comparison studies of tracking accuracy and speed of the Hybrid SCA-PSO based tracking framework and other trackers, viz., Particle filter, Mean-shift, Particle swarm optimization, Bat algorithm, Sine Cosine Algorithm (SCA) and Hybrid Gravitational Search Al algorithm (HGSA) is presented.
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Interactive search algorithm: A new hybrid metaheuristic optimization algorithm
TL;DR: The achieved numerical results demonstrate that the proposed method is competitive with other well-established metaheuristic methods.
Journal ArticleDOI
Size, shape, and topology optimization of planar and space trusses using mutation-based improved metaheuristics
TL;DR: This study compares the performance of four improved metaheuristics (viz.
References
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Book
Adaptation in natural and artificial systems
TL;DR: Names of founding work in the area of Adaptation and modiication, which aims to mimic biological optimization, and some (Non-GA) branches of AI.
Journal ArticleDOI
Differential Evolution – A Simple and Efficient Heuristic for Global Optimization over Continuous Spaces
Rainer Storn,Kenneth Price +1 more
TL;DR: In this article, a new heuristic approach for minimizing possibly nonlinear and non-differentiable continuous space functions is presented, which requires few control variables, is robust, easy to use, and lends itself very well to parallel computation.
Journal ArticleDOI
Particle swarm optimization
TL;DR: A snapshot of particle swarming from the authors’ perspective, including variations in the algorithm, current and ongoing research, applications and open problems, is included.
Journal ArticleDOI
A New Heuristic Optimization Algorithm: Harmony Search
TL;DR: A new heuristic algorithm, mimicking the improvisation of music players, has been developed and named Harmony Search (HS), which is illustrated with a traveling salesman problem (TSP), a specific academic optimization problem, and a least-cost pipe network design problem.
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Differential Evolution – A Simple and Efficient Heuristic for Global Optimization over Continuous Spaces
Rainer Storn,Kenneth Price +1 more