Journal ArticleDOI
Optimum design of steel frames using harmony search algorithm
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In this paper, a meta-heuristic search method based on the analogy between the performance process of natural music and searching for solutions to optimization problems was developed for optimum design of steel frames.Abstract:
In this article, harmony search algorithm was developed for optimum design of steel frames. Harmony search is a meta-heuristic search method that has been developed recently. It bases on the analogy between the performance process of natural music and searching for solutions to optimization problems. The objective of the design algorithm is to obtain minimum weight frames by selecting suitable sections from a standard set of steel sections such as American Institute of Steel Construction (AISC) wide-flange (W) shapes. Strength constraints of AISC load and resistance factor design specification and displacement constraints were imposed on frames. The effectiveness and robustness of harmony search algorithm, in comparison with genetic algorithm and ant colony optimization-based methods, were verified using three steel frames. The comparisons showed that the harmony search algorithm yielded lighter designs.read more
Citations
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A self-adaptive global best harmony search algorithm for continuous optimization problems
TL;DR: In the proposed SGHS algorithm, a new improvisation scheme is developed so that the good information captured in the current global best solution can be well utilized to generate new harmonies.
Journal ArticleDOI
Optimum design of skeletal structures using imperialist competitive algorithm
Ali Kaveh,Siamak Talatahari +1 more
TL;DR: In this paper, a socio-politically motivated strategy called imperialist competitive algorithm (ICA) is presented to optimize the skeletal structures of a multi-agent algorithm with each agent being a country, which is either a colony or an imperialist.
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Particle-swarm harmony search for water network design
TL;DR: This study proposes a modified harmony search algorithm incorporating particle swarm concept that was applied to the design of four bench-mark networks, with good results.
Journal ArticleDOI
Design of planar steel frames using Teaching–Learning Based Optimization
TL;DR: In this article, a teaching-learning-based optimization (TLBO) technique was used for discrete optimization of planar steel frames, which simulates the social interaction between the teacher and the learners in a class.
References
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Book
Genetic algorithms in search, optimization, and machine learning
TL;DR: In this article, the authors present the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields, including computer programming and mathematics.
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.
Journal ArticleDOI
A new meta-heuristic algorithm for continuous engineering optimization: harmony search theory and practice
Kang-Seok Lee,Zong Woo Geem +1 more
TL;DR: A new harmony search (HS) meta-heuristic algorithm-based approach for engineering optimization problems with continuous design variables conceptualized using the musical process of searching for a perfect state of harmony using a stochastic random search instead of a gradient search.
Journal ArticleDOI
A new structural optimization method based on the harmony search algorithm
Kang-Seok Lee,Zong Woo Geem +1 more
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.
Journal ArticleDOI
Discrete Optimization of Structures Using Genetic Algorithms
S Rajeev,C S Krishnamoorthy +1 more
TL;DR: A penalty‐based transformation method depends on the degree of constraint violation, which is found to be wellsuited for a parallel search using genetic algorithms.
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