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Discrete Puma Optimizer to Solve Combinatorial Optimization Problems
International Journal of Computational Intelligence SystemsDiscrete and combinatorial optimization problems such as routing, scheduling, and resource allocation present high computational complexity, limiting the effectiveness of classical exact optimization methods.
Ferzat Anka +3 more
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The combinatorial optimization problems of the discrete processes [PDF]
Lietuvos Matematikos Rinkinys, 2021 Nonclassic combinatorial optimization problems of the discrete processes are investigated. The methodology, permitting transform there problems into equivalent typical problems, which can be solved applying dynamic programming and principle of the ...
Nijolė Janušauskaitė
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An Optimized Discrete Dragonfly Algorithm Tackling the Low Exploitation Problem for Solving TSP
Mathematics, 2022 Optimization problems are prevalent in almost all areas and hence optimization algorithms are crucial for a myriad of real-world applications. Deterministic optimization algorithms tend to be computationally costly and time-consuming.
Bibi Aamirah Shafaa Emambocus +3 more
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Bat algorithm in discrete optimization: A review of recent applications [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2017 Bat algorithm (BA), inspired by the foraging behavior of microbats, has become a powerful swarm intelligence method for solving optimization problems over continuous and discrete spaces.
Wanatchapong Kongkaew
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On Decision-Making Algorithms in Discrete Optimization Problems
Современные информационные технологии и IT-образование, 2023 The article provides a comparative analysis of the efficiency of using several predictor functions, i.e. special auxiliary functions a priori evaluating the feasibility of choosing a separating element for a certain iterative algorithm. Cases of one, two
Yulia Terentyeva
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Application of the Global Equilibrium Search Method for Solving Boolean Programming Problems
Кібернетика та комп'ютерні технології, 2023 Introduction. The significance of methods and algorithms for solving discrete optimization problems in mathematical supporting computer technologies of diverse levels and objectives is increasing.
Ivan Sergienko +3 more
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Cascade Structural Sizing Optimization with Large Numbers of Design Variables
CivilEng, 2022 In structural sizing optimization problems, the number of design variables typically used is relatively small. The aim of this work is to facilitate the use of large numbers of design variables in such problems, in order to enrich the set of available ...
Dimos C. Charmpis, Nikos D. Lagaros
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Bird Mating Optimizer for Combinatorial Optimization Problems
IEEE Access, 2020 The bird mating optimizer is a new metaheuristic algorithm that was originally proposed to solve continuous optimization problems with a very promising performance.
Anas Arram +3 more
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Düzce Üniversitesi Bilim ve Teknoloji Dergisi, 2022 Metaheuristic optimization algorithms are widely used in solving NP-hard continuous optimization problems. Whereas, in the real world, many optimization problems are discrete.
Ahmet Cevahir Çınar
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An Improved Unordered Pair Bat Algorithm for Solving the Symmetrical Traveling Salesman Problem
Foundations of Computing and Decision Sciences, 2022 Bat algorithm is an effective swarm intelligence optimization algorithm which is widely used to solve continuous optimization problems. But it still has some limitations in search process and can’t solve discrete optimization problems directly. Therefore,
Nan Zhang, Zhimin Lv, Shen Qiao, Ting Li
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