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On the role of metaheuristic optimization in bioinformatics
International Transactions in Operational Research, 2022 AbstractMetaheuristic algorithms are employed to solve complex and large‐scale optimization problems in many different fields, from transportation and smart cities to finance. This paper discusses how metaheuristic algorithms are being applied to solve different optimization problems in the area of bioinformatics.
Laura Calvet +3 more
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KPLS Optimization With Nature-Inspired Metaheuristic Algorithms
IEEE Access, 2020 Kernel partial least squares regression (KPLS) is a technique used in several scientific areas because of its high predictive ability. This article proposes a methodology to simultaneously estimate both the parameters of the kernel function and the ...
Jorge Daniel Mello-Roman +1 more
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Influence of initialization on the performance of metaheuristic optimizers [PDF]
Applied Soft Computing, 2020 All metaheuristic optimization algorithms require some initialization, and the initialization for such optimizers is usually carried out randomly. However, initialization can have some significant influence on the performance of such algorithms. This paper presents a systematic comparison of 22 different initialization methods on the convergence and ...
Qian Li 0041 +2 more
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Engineering Science and Technology, an International Journal, 2023 Metaheuristic optimization algorithms are global optimization approaches that manage the search process to efficiently explore search spaces associated with different optimization problems. Seahorse optimization (SHO) is a novel swarm-based metaheuristic
Feyza Altunbey Özbay
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PLoS ONE, 2021 Metaheuristic optimization algorithms are one of the most effective methods for solving complex engineering problems. However, the performance of a metaheuristic algorithm is related to its exploration ability and exploitation ability.
Jiahao Fan, Ying Li, Tan Wang
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A new methodology called dice game optimizer for capacitor placement in distribution systems [PDF]
, 2020 Purpose. Shunt capacitors are installed in power system for compensating reactive power. Therefore, feeder capacity releases, voltage profile improves and power loss reduces.
Al-Haddad, Kamal +5 more
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Firefly Algorithms for Multimodal Optimization [PDF]
, 2009 Nature-inspired algorithms are among the most powerful algorithms for optimization. This paper intends to provide a detailed description of a new Firefly Algorithm (FA) for multimodal optimization applications.
Yang, Xin-She
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On the use of biased-randomized algorithms for solving non-smooth optimization problems [PDF]
, 2020 Soft constraints are quite common in real-life applications. For example, in freight transportation, the fleet size can be enlarged by outsourcing part of the distribution service and some deliveries to customers can be postponed as well; in inventory ...
Ferrer Biosca, Albert +4 more
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Kombinatorinis optmizavimas ir metaeuristiniai metodai: teoriniai aspektai
Informacijos Mokslai, 2008 Straipsnyje aptariami kombinatorinio optimizavimo ir intelektualių optimizavimo priemonių, t. y. metaeuristinių metodų (metaeuristikų), teoriniai aspektai. Apibūdinami kombinatorinio optimizavimo uždaviniai, jų savybės, specifika.
Alfonsas Misevičius +2 more
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International Journal of Photoenergy, 2021 A transition to solar energy systems is considered one of the most important alternatives to conventional fossil fuels. Until recently, solar air heaters (SAHs) were among the other solar energy systems that have been widely used in various households ...
Jean De Dieu Niyonteze +7 more
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