FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3215684419> ?p ?o ?g. }

• W3215684419 endingPage "108126" @default.
• W3215684419 startingPage "108126" @default.
• W3215684419 abstract "Increasing complexity of real world problems motivated an area to explore efficient optimization methods to solve such problems. Existing optimization algorithms cannot solve all type of problems efficiently (NFL theorem), so new algorithms are proposed to find the better solutions for such complex optimization problems. However, their efficiency and performance can be still improved. Therefore, to follow this vital purpose, in this paper, a novel metaheuristic algorithm, called intelligent clonal optimizer (ICO), is proposed to solve continuous optimization problems. In the proposed algorithm, the initial population is generated through the chaos theory to enhance its exploration capability. It lacks any crossover operator. Instead, a novel clonal operator copying candidate solutions according to their fitness in a self-adaptive way is proposed. Cloning each parent is carried out by two methods, and according to these methods, each offspring is located near the parent or in direction of temporary target. The offsprings are classified to two classes. In addition, a novel conservative selection operator is proposed. According to this operator, the new population is selected from two classes of offsprings and current population by maintaining population diversity. The performance of the ICO algorithm is assessed on 39 well-known unimodal, multimodal, fixed-dimensional multimodal, composite and CEC2019 benchmark functions as well as three engineering application problems. Results of the proposed ICO are compared to sixteen state-of-art metaheuristic algorithms in three categories including the most well-known and recently developed algorithms and the best performer of IEEE CEC competitions using statistical analysis, scalability analysis, Wilcoxon Signed-Rank Test, Friedman test, computational time analysis and convergence analysis. The obtained results proved that ICO performs better than state-of-art metaheuristics in sense of scalability and accurate convergence. According to average rank of Friedman test, the proposed ICO is firstly ranked among others." @default.
• W3215684419 created "2021-12-06" @default.
• W3215684419 creator A5002934429 @default.
• W3215684419 creator A5023518610 @default.
• W3215684419 creator A5045995650 @default.
• W3215684419 creator A5073844868 @default.
• W3215684419 date "2022-01-01" @default.
• W3215684419 modified "2023-09-27" @default.
• W3215684419 title "An intelligent chaotic clonal optimizer" @default.
• W3215684419 cites W1972651187 @default.
• W3215684419 cites W1980246362 @default.
• W3215684419 cites W1982600514 @default.
• W3215684419 cites W1983362686 @default.
• W3215684419 cites W1984130668 @default.
• W3215684419 cites W1985334587 @default.
• W3215684419 cites W1985460844 @default.
• W3215684419 cites W1991713449 @default.
• W3215684419 cites W1992656046 @default.
• W3215684419 cites W1999284878 @default.
• W3215684419 cites W2001979953 @default.
• W3215684419 cites W2002713790 @default.
• W3215684419 cites W2003273172 @default.
• W3215684419 cites W2007351764 @default.
• W3215684419 cites W2015512846 @default.
• W3215684419 cites W2023452756 @default.
• W3215684419 cites W2025148441 @default.
• W3215684419 cites W2031183907 @default.
• W3215684419 cites W2034988449 @default.
• W3215684419 cites W2061438946 @default.
• W3215684419 cites W2067959852 @default.
• W3215684419 cites W2072955302 @default.
• W3215684419 cites W2076858147 @default.
• W3215684419 cites W2102343719 @default.
• W3215684419 cites W2108179244 @default.
• W3215684419 cites W2111393363 @default.
• W3215684419 cites W2119700045 @default.
• W3215684419 cites W2147271386 @default.
• W3215684419 cites W2149815769 @default.
• W3215684419 cites W2154943049 @default.
• W3215684419 cites W2164934768 @default.
• W3215684419 cites W2169934304 @default.
• W3215684419 cites W2174096823 @default.
• W3215684419 cites W2290883490 @default.
• W3215684419 cites W2465078833 @default.
• W3215684419 cites W2508389861 @default.
• W3215684419 cites W2571820952 @default.
• W3215684419 cites W2585392941 @default.
• W3215684419 cites W2597387073 @default.
• W3215684419 cites W2738900493 @default.
• W3215684419 cites W2747274070 @default.
• W3215684419 cites W2768434535 @default.
• W3215684419 cites W2782513934 @default.
• W3215684419 cites W2889547691 @default.
• W3215684419 cites W2890810619 @default.
• W3215684419 cites W2919979744 @default.
• W3215684419 cites W2937914813 @default.
• W3215684419 cites W2947350869 @default.
• W3215684419 cites W2962182762 @default.
• W3215684419 cites W2972373936 @default.
• W3215684419 cites W2974000235 @default.
• W3215684419 cites W2976560662 @default.
• W3215684419 cites W2985845430 @default.
• W3215684419 cites W2988423815 @default.
• W3215684419 cites W3009972305 @default.
• W3215684419 cites W3023568755 @default.
• W3215684419 cites W3024725167 @default.
• W3215684419 cites W3034653956 @default.
• W3215684419 cites W3038124276 @default.
• W3215684419 cites W3084132011 @default.
• W3215684419 cites W3092123241 @default.
• W3215684419 cites W3108925078 @default.
• W3215684419 cites W3119051141 @default.
• W3215684419 cites W3131207985 @default.
• W3215684419 cites W3133774413 @default.
• W3215684419 cites W3135148245 @default.
• W3215684419 cites W3139391604 @default.
• W3215684419 cites W3167689043 @default.
• W3215684419 cites W414544266 @default.
• W3215684419 cites W4246598646 @default.
• W3215684419 cites W4292083457 @default.
• W3215684419 cites W883434633 @default.
• W3215684419 doi "https://doi.org/10.1016/j.asoc.2021.108126" @default.
• W3215684419 hasPublicationYear "2022" @default.
• W3215684419 type Work @default.
• W3215684419 sameAs 3215684419 @default.
• W3215684419 citedByCount "6" @default.
• W3215684419 countsByYear W32156844192022 @default.
• W3215684419 countsByYear W32156844192023 @default.
• W3215684419 crossrefType "journal-article" @default.
• W3215684419 hasAuthorship W3215684419A5002934429 @default.
• W3215684419 hasAuthorship W3215684419A5023518610 @default.
• W3215684419 hasAuthorship W3215684419A5045995650 @default.
• W3215684419 hasAuthorship W3215684419A5073844868 @default.
• W3215684419 hasConcept C104317684 @default.
• W3215684419 hasConcept C109718341 @default.
• W3215684419 hasConcept C11413529 @default.
• W3215684419 hasConcept C122507166 @default.
• W3215684419 hasConcept C126255220 @default.

• next