Thus, it is an effective way to deal with the problem by an ensemble of multiple algorithms. This paper proposes an ensemble of population-based metaheuristics (EPM) to solve single-objective optimization problems. The design of the EPM framework includes three stages: the initial stage, the ...
J. Fleming, "An overview of population-based algorithms for multi-objective optimization," Internal Journal of System Science, vol. 46, issue. 9, 1572-1599, 2013.I. Giagkiozis, R.C. Purshouse, P.J. Fleming, An overview of population-based algorithms for multi-objective optimisation, Int...
These results show that population-based algorithms can outperform traditional local search strategies. Besides, as far as we know, this is the first time that the method of musical composition is used for this kind of problems.doi:10.1108/K-06-2016-0130Rincón-García, Eric Alfredo...
Evolutionary algorithms (EAs) are population-based general-purpose optimization algorithms, and have been successfully applied in various real-world optimization tasks. However, previous theoretical studies often employ EAs with only a parent or offspring population and focus on specific problems. Further...
Among optimization methods, evolutionary algorithms (EAs) which are generally known as general purpose optimization algorithms are capable of finding the near-optimal solution to the numerical real-valued test problems. EAs have been successfully applied to constrained optimization problems [6]. GAs are...
a study of algorithms based on digital image correlation for embedding in a full-fiield displacement sensor with subpixel resolution 热度: Community-based education and the formation of ethnic identity Case study in a Chinese American community ...
Acasestudyofinnovativepopulation-basedalgorithmsin3Dmodeling: Artificialbeecolony,biogeography-basedoptimization,harmony search q JoséM.García-Torres a,⇑ ,SergioDamas b ,OscarCordón a,b,c ,JoséSantamaría d a Dept.ofComputerScienceandArtificialIntelligence,UniversityofGranada,Spain b EuropeanCent...
Genetic Programming and Evolvable Machines (2023) 24:3 https://doi.org/10.1007/s10710-023-09451-5 SonOpt: understanding the behaviour of bi‑objective population‑based optimisation algorithms through sound Tasos Asonitis1 · Richard Allmendinger2 · Matt Benatan3 · ...
The effectiveness of HPBA is proven by comparing other existed algorithms under the same benchmark functions. 展开 关键词: Global solution Hybrid population-based algorithm constrained global programming auxiliary function DOI: 10.1109/ICCET.2010.5486217 年份: 2010 ...
Multi-population algorithms have been widely used for solving the real-world problems. However, it is not easy to get the number of sub-populations to be used for a given problem. This work proposes a self-adaptive multi-population based Jaya (SAMP-Jaya) algorithm for solving the constrained...