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Knowledge transfer in evolutionary multi-task optimization: A survey. Appl Soft Comput 2023. [DOI: 10.1016/j.asoc.2023.110182] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/08/2023]
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Zaborski M, Woźniak M, Mańdziuk J. Multidimensional Red Fox meta-heuristic for complex optimization. Appl Soft Comput 2022. [DOI: 10.1016/j.asoc.2022.109774] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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An evolutionary multitasking optimization algorithm via reference-point based nondominated sorting approach. EVOLUTIONARY INTELLIGENCE 2022. [DOI: 10.1007/s12065-022-00788-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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Cai Y, Cheng M, Zhou Y, Liu P, Guo JM. A hybrid evolutionary multitask algorithm for the multiobjective vehicle routing problem with time windows. Inf Sci (N Y) 2022. [DOI: 10.1016/j.ins.2022.08.103] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Gao W, Cheng J, Gong M, Li H, Xie J. Multiobjective Multitasking Optimization With Subspace Distribution Alignment and Decision Variable Transfer. IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE 2022. [DOI: 10.1109/tetci.2021.3115518] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Weifeng Gao
- School of Mathematics and Statistics, Xidian University, Xian, China
| | - Jiangli Cheng
- School of Mathematics and Statistics, Xidian University, Xian, China
| | - Maoguo Gong
- Key Laboratory of Intelligent Perception and Image Understanding, International Research Center for Intelligent Perception and Computation, Ministry of Education, Xidian University, Xian, China
| | - Hong Li
- School of Mathematics and Statistics, Xidian University, Xian, China
| | - Jin Xie
- School of Mathematics and Statistics, Xidian University, Xian, China
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Tuo S, Li C, Liu F, Li A, He L, Geem ZW, Shang J, Liu H, Zhu Y, Feng Z, Chen T. MTHSA-DHEI: multitasking harmony search algorithm for detecting high-order SNP epistatic interactions. COMPLEX INTELL SYST 2022. [DOI: 10.1007/s40747-022-00813-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
AbstractGenome-wide association studies have succeeded in identifying genetic variants associated with complex diseases, but the findings have not been well interpreted biologically. Although it is widely accepted that epistatic interactions of high-order single nucleotide polymorphisms (SNPs) [(1) Single nucleotide polymorphisms (SNP) are mainly deoxyribonucleic acid (DNA) sequence polymorphisms caused by variants at a single nucleotide at the genome level. They are the most common type of heritable variation in humans.] are important causes of complex diseases, the combinatorial explosion of millions of SNPs and multiple tests impose a large computational burden. Moreover, it is extremely challenging to correctly distinguish high-order SNP epistatic interactions from other high-order SNP combinations due to small sample sizes. In this study, a multitasking harmony search algorithm (MTHSA-DHEI) is proposed for detecting high-order epistatic interactions [(2) In classical genetics, if genes X1 and X2 are mutated and each mutation by itself produces a unique disease status (phenotype) but the mutations together cause the same disease status as the gene X1 mutation, gene X1 is epistatic and gene X2 is hypostatic, and gene X1 has an epistatic effect (main effect) on disease status. In this work, a high-order epistatic interaction occurs when two or more SNP loci have a joint influence on disease status.], with the goal of simultaneously detecting multiple types of high-order (k1-order, k2-order, …, kn-order) SNP epistatic interactions. Unified coding is adopted for multiple tasks, and four complementary association evaluation functions are employed to improve the capability of discriminating the high-order SNP epistatic interactions. We compare the proposed MTHSA-DHEI method with four excellent methods for detecting high-order SNP interactions for 8 high-orderepistatic interaction models with no marginal effect (EINMEs) and 12 epistatic interaction models with marginal effects (EIMEs) (*) and implement the MTHSA-DHEI algorithm with a real dataset: age-related macular degeneration (AMD). The experimental results indicate that MTHSA-DHEI has power and an F1-score exceeding 90% for all EIMEs and five EINMEs and reduces the computational time by more than 90%. It can efficiently perform multiple high-order detection tasks for high-order epistatic interactions and improve the discrimination ability for diverse epistasis models.
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Dynamic multitask optimization with improved knowledge transfer mechanism. APPL INTELL 2022. [DOI: 10.1007/s10489-022-03282-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
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Osaba E, Del Ser J, Martinez AD, Hussain A. Evolutionary Multitask Optimization: a Methodological Overview, Challenges, and Future Research Directions. Cognit Comput 2022. [DOI: 10.1007/s12559-022-10012-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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Villar E, Osaba E, L. Lobo J, Laña I. Introductory Chapter: Artificial Intelligence - Latest Advances, New Paradigms and Novel Applications. ARTIF INTELL 2021. [DOI: 10.5772/intechopen.99289] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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