A new meta-heuristic method: Ray Optimization

Kaveh, A.; Khayatazad, Mojtaba

doi:10.1016/j.compstruc.2012.09.003

Cited by 719 publications

(264 citation statements)

References 12 publications

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“…In 2012, Kaveh and Talatahari [10] introduced the charged system search method based on physics laws and Newtonian mechanics. Finally, optimization method based on the behavior of ray passing through different layers of a media was presented by Kaveh and Khayatazad [11]. Some of the most recent metaheuristics can be found in a book by Kaveh [12].…”

Section: Introductionmentioning

confidence: 99%

Optimal Design of Steel Towers Using a Multi-Metaheuristic Based Search Method

Kaveh

Kalatjari²,

Talebpour³

2016

Period. Polytech. Civil Eng.

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Section: Introductionmentioning

confidence: 99%

Optimal Design of Steel Towers Using a Multi-Metaheuristic Based Search Method

Kaveh

Kalatjari²,

Talebpour³

2016

Period. Polytech. Civil Eng.

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“…Simulated Annealing [12] SA Gravitational Search Algorithm [13] GSA Charged System Search [14] CSS Black Hole Algorithm [15] BH Emperor Penguin Optimizer [16] EPO Artificial Chemical Reaction Optimization Algorithm [17] ACROA Ray Optimization Algorithm [18] RO Galaxy-Based Search Algorithm [19] GbSA Ant Colony Optimization [20] ACO Cuckoo Search [21] CS Bat-Inspired Algorithm [22] BA Firefly Algorithm [23] FA Spotted Hyena Optimizer [24] SHO Exchange Market Algorithm [25] EMA Social-Based Algorithm [26] SBA Harmony Search [27] HS Grey Wolf Optimizer [28] GWO Mine Blast Algorithm [29] MBA Every optimization algorithm needs to address the exploration and exploitation of a search space [30] and maintains a good balance between exploration and exploitation. The exploration phase investigates the different promising regions in a search space, whereas exploitation searches the close global optimal solutions around the promising regions [31,32].…”

Section: Algorithms Abbreviationmentioning

confidence: 99%

Optimizing the Design of Airfoil and Optical Buffer Problems Using Spotted Hyena Optimizer

Dhiman

Kaur

2018

Designs

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This paper presents the contemporary metaheuristic optimization algorithm named the Spotted Hyena Optimizer (SHO). The proposed technique is based on the law of gravitation and simulates the social behavior of spotted hyenas. The three basic steps of SHO, namely, searching for prey, encircling, and attacking prey, are mathematically modelled and discussed. The main concept of this work is to apply the recently developed SHO algorithm to two real-life design problems, namely optical buffer design and airfoil design. Experimental results reveal the supremacy of the SHO algorithm for solving the engineering design problems as compared to other competitor algorithms.

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“…Recently, a new optimization method is developed that is based on the transition of ray from one medium to another from physics, Kaveh and Khayatazd [11]. The transition of the ray is utilized for finding the global or near-global solutions.…”

Section: Introductionmentioning

confidence: 99%

An improved ray optimization algorithm for design of truss structures

Kaveh

Ghazaan

Bakhshpoori

2013

Per. Pol. Civil Eng.

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The ray optimization algorithm is a recently developed metaheuristic algorithm which was conceptualized using the relationship between the angles of incidence and fraction based on Snell ' IntroductionOne class of optimization is based on traditional mathematical methods which use the gradient information to search the optimal solutions with drawbacks such as complex derivatives, sensitivity to initial values, and the large amount of enumeration memory required [1]. In recent years, the other class of optimization techniques, namely stochastic optimization algorithms inspired by natural mechanisms, are developed for overcoming these disadvantages.In recent years, the investigation of various kinds of metaheuristic algorithms for discrete and continuous structural optimization problems such as Genetic Algorithms (GA Optimum design of the truss structures is known as benchmark in the field of optimization problems due to the presence of many design variables, large size of the search space, and many constraints. Therefore this can be considered as a suitable means to investigate the efficiency of the new algorithms.Recently, a new optimization method is developed that is based on the transition of ray from one medium to another from physics, Kaveh and Khayatazd [11]. The transition of the ray is utilized for finding the global or near-global solutions. This algorithm is called Ray Optimization (RO) and uses the Snell's refraction law of the light. RO is good at identifying the high performance regions of the solution space at a reasonable time in relatively complicated problems, but it is not good in performing local search for complex problems. In order to create a solution vector, a new technique is added to the IRO that provides a better balance between exploration and exploitation. Furthermore it applies an increasing function that helps the algorithm in constraint handling.

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A new meta-heuristic method: Ray Optimization

Cited by 719 publications

References 12 publications

Optimal Design of Steel Towers Using a Multi-Metaheuristic Based Search Method

Optimal Design of Steel Towers Using a Multi-Metaheuristic Based Search Method

Optimizing the Design of Airfoil and Optical Buffer Problems Using Spotted Hyena Optimizer

An improved ray optimization algorithm for design of truss structures

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