Journal ArticleDOI
Bird swarm algorithms with chaotic mapping
Elif Varol Altay,Bilal Alatas +1 more
TLDR
Chaos has been integrated into the standard BSA, for the first time, in order to enhance the global convergence feature by preventing premature convergence and stumbling in the local solutions.Abstract:
Swarm intelligence based optimization methods have been proposed by observing the movements of alive swarms such as bees, birds, cats, and fish in order to obtain a global solution in a reasonable time when mathematical models cannot be formed. However, many swarm intelligence algorithms suffer premature convergence and they may stumble in local optima. Bird swarm algorithm (BSA) is one of the most recent swarm-based methods that suffers the same problems in some situations. In order to obtain a faster convergence with high accuracy from the swarm based optimization algorithms, different methods have been utilized for balancing the exploitation and exploration. In this paper, chaos has been integrated into the standard BSA, for the first time, in order to enhance the global convergence feature by preventing premature convergence and stumbling in the local solutions. Furthermore, a new research area has been introduced for chaotic dynamics. The standard BSA and the chaotic BSAs proposed in this paper have been tested on unimodal and multimodal unconstrained benchmark functions, and on constrained real-life engineering design problems. Generally, the obtained results from the proposed novel chaotic BSAs with an appropriate chaotic map can outperform the standard BSA on benchmark functions and engineering design problems. The proposed chaotic BSAs are expected to be used effectively in many complex problems in future by integrating enhanced multi-dimensional chaotic maps, time-continuous chaotic systems, and hybrid multi-dimensional maps.read more
Citations
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Journal ArticleDOI
Comparative Assessment Of Light-based Intelligent Search And Optimization Algorithms
Bilal Alatas,Harun Bingol +1 more
TL;DR: Two recently proposed algorithms, namely ray optimization and optics inspired optimization, seem to be inspired by light, and they are entitled as light-based intelligent optimization algorithms in this paper.
Journal ArticleDOI
Conceptual comparison of the ecogeography-based algorithm, equilibrium algorithm, marine predators algorithm and slime mold algorithm for optimal product design
Betül Sultan Yıldız,Vivek Patel,Nantiwat Pholdee,Sadiq M. Sait,Sujin Bureerat,Ali Rıza Yıldız +5 more
Journal ArticleDOI
Chaos based optics inspired optimization algorithms as global solution search approach
Harun Bingol,Bilal Alatas +1 more
TL;DR: Different ergodic chaotic systems are used for the first time to generate chaotic values instead of random values in OIO processes in order to enhance the global convergence speed and prevent stuck on local solutions of classical OIO algorithm.
Journal ArticleDOI
A chaotic optimization method based on logistic-sine map for numerical function optimization
TL;DR: 1D hybrid chaotic map (logistic-sine map)-based novel swarm optimization method is proposed to achieve higher numerical results than other optimization methods and is tested on compression spring design problem.
Journal ArticleDOI
Power generation cost minimization of the grid-connected hybrid renewable energy system through optimal sizing using the modified seagull optimization technique
TL;DR: To prove the superiority of the proposed optimization method in terms of accuracy and computation time, it is compared to two other optimization methods, namely original seagull optimization algorithm (SOA) and modified farmland fertility algorithm (MFFA), which are used in similar applications.
References
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Journal ArticleDOI
Grey Wolf Optimizer
TL;DR: The results of the classical engineering design problems and real application prove that the proposed GWO algorithm is applicable to challenging problems with unknown search spaces.
Journal ArticleDOI
The Whale Optimization Algorithm
Seyedali Mirjalili,Andrew Lewis +1 more
TL;DR: Optimization results prove that the WOA algorithm is very competitive compared to the state-of-art meta-heuristic algorithms as well as conventional methods.
Journal ArticleDOI
A novel heuristic optimization method: charged system search
Ali Kaveh,Siamak Talatahari +1 more
TL;DR: A comparison of the results with those of other evolutionary algorithms shows that the proposed algorithm outperforms its rivals.
Book
Optimization of Chemical Processes
TL;DR: The Nature and Organization of Optimization Problems are discussed in this article, where the authors develop models for optimisation problems and develop methods for optimization problems in the context of large scale plant design and operation.