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dc.contributor.authorGai-Ge Wang, and Amir H. Alavi (Eds.)-
dc.contributor.authorH. Alavi (Eds.), Amir-
dc.date.accessioned2021-08-17T09:31:00Z-
dc.date.available2021-08-17T09:31:00Z-
dc.date.issued2019-
dc.identifier.issn978-3-03921-928-5-
dc.identifier.urihttp://thuvienso.vanlanguni.edu.vn/handle/Vanlang_TV/33554-
dc.descriptionx, 412 p. ; 33,1 Mb ; https://doi.org/10.3390/books978-3-03921-929-2 ; CC BY-NC-NDvi
dc.description.abstractThe vast majority of real-world problems can be expressed as an optimisation task by formulating an objective function, also known as cost or fitness function. The most logical methods to optimise such a function when (1) an analytical expression is not available, (2) mathematical hypotheses do not hold, and (3) the dimensionality of the problem or stringent real-time requirements make it infeasible to find an exact solution mathematically are from the field of Evolutionary Computation (EC) and Swarm Intelligence (SI). The latter are broad and still growing subjects in Computer Science in the study of metaheuristic approaches, i.e., those approaches which do not make any assumptions about the problem function, inspired from natural phenomena such as, in the first place, the evolution process and the collaborative behaviours of groups of animals and communities, respectively. This book contains recent advances in the EC and SI fields, covering most themes currently receiving a great deal of attention such as benchmarking and tunning of optimisation algorithms, their algorithm design process, and their application to solve challenging real-world problems to face large-scale domains.vi
dc.description.tableofcontents"About the Special Issue Editors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . vii Preface to ”Evolutionary Computation” . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ix Yanhong Feng, Xu Yu and Gai-Ge Wang A Novel Monarch Butterfly Optimization with Global Position Updating Operator for Large-Scale 0-1 Knapsack Problems Reprinted from: Mathematics 2019, 7, 1056, doi:10.3390/math7111056 . . . . . . . . . . . . . . . . 1 Xiangjin Ran, Linfu Xue, Yanyan Zhang, Zeyu Liu, Xuejia Sang and Jinxin He Rock Classification from Field Image Patches Analyzed Using a Deep Convolutional Neural Network Reprinted from: Mathematics 2019, 7, 755, doi:10.3390/math7080755 . . . . . . . . . . . . . . . . . 32 Fanrong Kong, Jianhui Jiang and Yan Huang An Adaptive Multi-Swarm Competition Particle Swarm Optimizer for Large-Scale Optimization Reprinted from: Mathematics 2019, 7, 521, doi:10.3390/math7060521 . . . . . . . . . . . . . . . . . 48 Zhiqiang Zhang, Zhongwen Li, Xiaobing Qiao andWeijunWang An Efficient Memetic Algorithm for the Minimum Load Coloring Problem Reprinted from: Mathematics 2019, 7, 475, doi:10.3390/math7050475 . . . . . . . . . . . . . . . . . 61 Weian Guo, Lei Zhu, Lei Wang, Qidi Wu and Fanrong Kong An Entropy-Assisted Particle Swarm Optimizer for Large-Scale Optimization Problem Reprinted from: Mathematics 2019, 7, 414, doi:10.3390/math7050414 . . . . . . . . . . . . . . . . . 81 Jiang Li, Lihong Guo, Yan Li and Chang Liu Enhancing Elephant Herding Optimization with Novel Individual Updating Strategies for Large-Scale Optimization Problems Reprinted from: Mathematics 2019, 7, 395, doi:10.3390/math7050395 . . . . . . . . . . . . . . . . . 93 Fei Luan, Zongyan Cai, Shuqiang Wu, Tianhua Jiang, Fukang Li and Jia Yang Improved Whale Algorithm for Solving the Flexible Job Shop Scheduling Problem Reprinted from: Mathematics 2019, 7, 384, doi:10.3390/math7050384 . . . . . . . . . . . . . . . . . 128 KaiguangWang and Yuelin Gao Topology Structure Implied in β-Hilbert Space, Heisenberg Uncertainty Quantum Characteristicsand Numerical Simulation of the DE Algorithm Reprinted from: Mathematics 2019, 7, 330, doi:10.3390/math7040330 . . . . . . . . . . . . . . . . . 142 Songyi Xiao, WenjunWang, Hui Wang, Dekun Tan, Yun Wang, Xiang Yu and RunxiuWu An Improved Artificial Bee Colony Algorithm Based on Elite Strategy and Dimension Learning Reprinted from: Mathematics 2019, 7, 289, doi:10.3390/math7030289 . . . . . . . . . . . . . . . . . 161 Umesh Balande and Deepti Shrimankar SRIFA: Stochastic Ranking with Improved-Firefly-Algorithm for Constrained Optimization Engineering Design Problems Reprinted from: Mathematics 2019, 7, 250, doi:10.3390/math7030250 . . . . . . . . . . . . . . . . . 178 v Fuyu Yuan, Chenxi Li, Xin Gao, Minghao Yin and YiyuanWang A Novel Hybrid Algorithm for Minimum Total Dominating Set Problem Reprinted from: Mathematics 2019, 7, 222, doi:10.3390/math7030222 . . . . . . . . . . . . . . . . . 204 Lei Gao, Zhen-yun Jiang, Fan Min First-Arrival Travel Times Picking through SlidingWindows and Fuzzy C-Means Reprinted from: Mathematics 2019, 7, 221, doi:10.3390/math7030221 . . . . . . . . . . . . . . . . . 215 Penghong Wang, Fei Xue, Hangjuan Li, Zhihua Cui, Liping Xie and Jinjun Chen A Multi-Objective DV-Hop Localization Algorithm Based on NSGA-II in Internet of Things Reprinted from: Mathematics 2019, 7, 184, doi:10.3390/math7020184 . . . . . . . . . . . . . . . . . 228 Minhee Kim and Junjae Chae Monarch Butterfly Optimization for Facility Layout Design Based on a Single Loop Material Handling Path Reprinted from: Mathematics 2019, 7, 154, doi:10.3390/math7020154 . . . . . . . . . . . . . . . . . 248 Yechuang Wang, Penghong Wang, Jiangjiang Zhang, Zhihua Cui, Xingjuan Cai, Wensheng Zhang and Jinjun Chen A Novel Bat Algorithm with Multiple Strategies Coupling for Numerical Optimization Reprinted from: Mathematics 2019, 7, 135, doi:10.3390/math7020135 . . . . . . . . . . . . . . . . . 269 Yan Pei, Jun Yu, and Hideyuki Takagi Search Acceleration of Evolutionary Multi-Objective Optimization Using an Estimated Convergence Point Reprinted from: Mathematics 2019, 7, 129, doi:10.3390/math7020129 . . . . . . . . . . . . . . . . . 286 Yanhong Feng, Haizhong An and Xiangyun Gao The Importance of Transfer Function in Solving Set-Union Knapsack Problem Based on Discrete Moth Search Algorithm Reprinted from: Mathematics 2019, 7, 17, doi:10.3390/math7010017 . . . . . . . . . . . . . . . . . . 304 Xin Zhang, Dexuan Zou and Xin Shen A Novel Simple Particle Swarm Optimization Algorithm for Global Optimization Reprinted from: Mathematics 2018, 6, 287, doi:10.3390/math6120287 . . . . . . . . . . . . . . . . . 329 Tianhua Jiang, Chao Zhang, Huiqi Zhu, Jiuchun Gu and Guanlong Deng Energy-Efficient Scheduling for a Job Shop Using an Improved Whale Optimization Algorithm Reprinted from: Mathematics 2018, 6, 220, doi:10.3390/math6110220 . . . . . . . . . . . . . . . . . 363 Diego Navarro-Mateu, Mohammed Makki and Ana Cocho-Bermejo Urban-Tissue Optimization through Evolutionary Computation Reprinted from: Mathematics 2018, 6, 189, doi:10.3390/math6100189 . . . . . . . . . . . . . . . . . 379 Ye Jin, Yuehong Sun, Hongjiao Ma A Developed Artificial Bee Colony Algorithm Based on Cloud Model Reprinted from: Mathematics 2018, 6, 61, doi:10.3390/math6040061 . . . . . . . . . . . . . . . . . . 395 viAbout the Special Issue Editors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . vii Preface to ”Evolutionary Computation” . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ix Yanhong Feng, Xu Yu and Gai-Ge Wang A Novel Monarch Butterfly Optimization with Global Position Updating Operator for Large-Scale 0-1 Knapsack Problems Reprinted from: Mathematics 2019, 7, 1056, doi:10.3390/math7111056 . . . . . . . . . . . . . . . . 1 Xiangjin Ran, Linfu Xue, Yanyan Zhang, Zeyu Liu, Xuejia Sang and Jinxin He Rock Classification from Field Image Patches Analyzed Using a Deep Convolutional Neural Network Reprinted from: Mathematics 2019, 7, 755, doi:10.3390/math7080755 . . . . . . . . . . . . . . . . . 32 Fanrong Kong, Jianhui Jiang and Yan Huang An Adaptive Multi-Swarm Competition Particle Swarm Optimizer for Large-Scale Optimization Reprinted from: Mathematics 2019, 7, 521, doi:10.3390/math7060521 . . . . . . . . . . . . . . . . . 48 Zhiqiang Zhang, Zhongwen Li, Xiaobing Qiao andWeijunWang An Efficient Memetic Algorithm for the Minimum Load Coloring Problem Reprinted from: Mathematics 2019, 7, 475, doi:10.3390/math7050475 . . . . . . . . . . . . . . . . . 61 Weian Guo, Lei Zhu, Lei Wang, Qidi Wu and Fanrong Kong An Entropy-Assisted Particle Swarm Optimizer for Large-Scale Optimization Problem Reprinted from: Mathematics 2019, 7, 414, doi:10.3390/math7050414 . . . . . . . . . . . . . . . . . 81 Jiang Li, Lihong Guo, Yan Li and Chang Liu Enhancing Elephant Herding Optimization with Novel Individual Updating Strategies for Large-Scale Optimization Problems Reprinted from: Mathematics 2019, 7, 395, doi:10.3390/math7050395 . . . . . . . . . . . . . . . . . 93 Fei Luan, Zongyan Cai, Shuqiang Wu, Tianhua Jiang, Fukang Li and Jia Yang Improved Whale Algorithm for Solving the Flexible Job Shop Scheduling Problem Reprinted from: Mathematics 2019, 7, 384, doi:10.3390/math7050384 . . . . . . . . . . . . . . . . . 128 KaiguangWang and Yuelin Gao Topology Structure Implied in β-Hilbert Space, Heisenberg Uncertainty Quantum Characteristicsand Numerical Simulation of the DE Algorithm Reprinted from: Mathematics 2019, 7, 330, doi:10.3390/math7040330 . . . . . . . . . . . . . . . . . 142 Songyi Xiao, WenjunWang, Hui Wang, Dekun Tan, Yun Wang, Xiang Yu and RunxiuWu An Improved Artificial Bee Colony Algorithm Based on Elite Strategy and Dimension Learning Reprinted from: Mathematics 2019, 7, 289, doi:10.3390/math7030289 . . . . . . . . . . . . . . . . . 161 Umesh Balande and Deepti Shrimankar SRIFA: Stochastic Ranking with Improved-Firefly-Algorithm for Constrained Optimization Engineering Design Problems Reprinted from: Mathematics 2019, 7, 250, doi:10.3390/math7030250 . . . . . . . . . . . . . . . . . 178 v Fuyu Yuan, Chenxi Li, Xin Gao, Minghao Yin and YiyuanWang A Novel Hybrid Algorithm for Minimum Total Dominating Set Problem Reprinted from: Mathematics 2019, 7, 222, doi:10.3390/math7030222 . . . . . . . . . . . . . . . . . 204 Lei Gao, Zhen-yun Jiang, Fan Min First-Arrival Travel Times Picking through SlidingWindows and Fuzzy C-Means Reprinted from: Mathematics 2019, 7, 221, doi:10.3390/math7030221 . . . . . . . . . . . . . . . . . 215 Penghong Wang, Fei Xue, Hangjuan Li, Zhihua Cui, Liping Xie and Jinjun Chen A Multi-Objective DV-Hop Localization Algorithm Based on NSGA-II in Internet of Things Reprinted from: Mathematics 2019, 7, 184, doi:10.3390/math7020184 . . . . . . . . . . . . . . . . . 228 Minhee Kim and Junjae Chae Monarch Butterfly Optimization for Facility Layout Design Based on a Single Loop Material Handling Path Reprinted from: Mathematics 2019, 7, 154, doi:10.3390/math7020154 . . . . . . . . . . . . . . . . . 248 Yechuang Wang, Penghong Wang, Jiangjiang Zhang, Zhihua Cui, Xingjuan Cai, Wensheng Zhang and Jinjun Chen A Novel Bat Algorithm with Multiple Strategies Coupling for Numerical Optimization Reprinted from: Mathematics 2019, 7, 135, doi:10.3390/math7020135 . . . . . . . . . . . . . . . . . 269 Yan Pei, Jun Yu, and Hideyuki Takagi Search Acceleration of Evolutionary Multi-Objective Optimization Using an Estimated Convergence Point Reprinted from: Mathematics 2019, 7, 129, doi:10.3390/math7020129 . . . . . . . . . . . . . . . . . 286 Yanhong Feng, Haizhong An and Xiangyun Gao The Importance of Transfer Function in Solving Set-Union Knapsack Problem Based on Discrete Moth Search Algorithm Reprinted from: Mathematics 2019, 7, 17, doi:10.3390/math7010017 . . . . . . . . . . . . . . . . . . 304 Xin Zhang, Dexuan Zou and Xin Shen A Novel Simple Particle Swarm Optimization Algorithm for Global Optimization Reprinted from: Mathematics 2018, 6, 287, doi:10.3390/math6120287 . . . . . . . . . . . . . . . . . 329 Tianhua Jiang, Chao Zhang, Huiqi Zhu, Jiuchun Gu and Guanlong Deng Energy-Efficient Scheduling for a Job Shop Using an Improved Whale Optimization Algorithm Reprinted from: Mathematics 2018, 6, 220, doi:10.3390/math6110220 . . . . . . . . . . . . . . . . . 363 Diego Navarro-Mateu, Mohammed Makki and Ana Cocho-Bermejo Urban-Tissue Optimization through Evolutionary Computation Reprinted from: Mathematics 2018, 6, 189, doi:10.3390/math6100189 . . . . . . . . . . . . . . . . . 379 Ye Jin, Yuehong Sun, Hongjiao Ma A Developed Artificial Bee Colony Algorithm Based on Cloud Model Reprinted from: Mathematics 2018, 6, 61, doi:10.3390/math6040061 . . . . . . . . . . . . . . . . . . 395 vi"vi
dc.language.isoenvi
dc.publisherMDPIvi
dc.subjectImprovements of traditional EC methodsvi
dc.subjectRecent development of EC methodsvi
dc.subjectTheoretical study on EC algorithms using various techniquesvi
dc.subjectApplication of EC methodsvi
dc.titleGai-Ge Wang and Amir H. Alavi (Eds.)vi
dc.typeBookvi
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