Results 11 to 20 of about 115,871 (107)
A particle swarm optimization based memetic algorithm for dynamic optimization problems [PDF]
, 2009 Copyright @ Springer Science + Business Media B.V. 2010.Recently, there has been an increasing concern from the evolutionary computation community on dynamic optimization problems since many real-world optimization problems are dynamic.
AS Uyar +25 more
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Multi-Objective Planting Planning Method Based on Connected Components and Genetic Algorithm: A Case Study of Fujin City [PDF]
智慧农业[Objective] In the advancement of intensive agriculture, the contradiction between soil degradation and the demand for large-scale production has become increasingly pronounced, particularly in the core region of black soil in Northeast China.
XU Menghua, WANG Xiujuan, LENG Pei, ZHANG Mengmeng, WANG Haoyu, HUA Jing, KANG Mengzhen
doaj +1 more source
Meta-heuristic algorithms in car engine design: a literature survey [PDF]
, 2015 Meta-heuristic algorithms are often inspired by natural phenomena, including the evolution of species in Darwinian natural selection theory, ant behaviors in biology, flock behaviors of some birds, and annealing in metallurgy.
Tayarani-N, Mohammad-H. +2 more
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International Journal of Distributed Sensor Networks, 2017 Industrial cyber-physical system is defined as transformative technologies for upgrading the traditional industrial mode. Wireless mesh network becomes a typical technology in industrial cyber-physical system for the network communication with large ...
Tao Wang +3 more
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Cloud computing resource scheduling and a survey of its evolutionary approaches [PDF]
, 2015 A disruptive technology fundamentally transforming the way that computing services are delivered, cloud computing offers information and communication technology users a new dimension of convenience of resources, as services via the Internet.
Chung, Henry Shu-Hung +5 more
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An improved MOEA/D algorithm for multi-objective multicast routing with network coding [PDF]
, 2017 Network coding enables higher network throughput, more balanced traffic, and securer data transmission. However, complicated mathematical operations incur when packets are combined at intermediate nodes, which, if not operated properly, lead to very high
Li, Hui +4 more
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Cooperative co-evolution of GA-based classifiers based on input increments [PDF]
, 2007 Genetic algorithms (GAs) have been widely used as soft computing techniques in various applications, while cooperative co-evolution algorithms were proposed in the literature to improve the performance of basic GAs.
Guan, SU, Zhu, F
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Multiobjective synchronization of coupled systems [PDF]
, 2011 Copyright @ 2011 American Institute of PhysicsSynchronization of coupled chaotic systems has been a subject of great interest and importance, in theory but also various fields of application, such as secure communication and neuroscience. Recently, based
Blekhman I. I. +7 more
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MOECSO-Based Framework for Crude Oil Price Forecasting
MathematicsMulti-model ensembles and multi-objective evolutionary algorithms provide a systematic approach to reconciling competing criteria in time-series forecasting.
Lihong Zhao +3 more
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, 2019 Fooling deep neural networks with adversarial input have exposed a significant vulnerability in the current state-of-the-art systems in multiple domains.
Aralikatte, Rahul +2 more
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