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雷达卡
Adaptation, Learning, and Optimization
Description
The role of adaptation, learning and optimization are becoming increasingly essential and intertwined. The capability of a system to adapt either through modification of its physiological structure or via some revalidation process of internal mechanisms that directly dictate the response or behavior is crucial in many real world applications. Optimization lies at the heart of most machine learning approaches while learning and optimization are two primary means to effect adaptation in various forms. They usually involve computational processes incorporated within the system that trigger parametric updating and knowledge or model enhancement, giving rise to progressive improvement. This book series serves as a channel to consolidate work related to topics linked to adaptation, learning and optimization in systems and structures. Topics covered under this series include:
- complex adaptive systems including evolutionary computation, memetic computing, swarm intelligence, neural networks, fuzzy systems, tabu search, simulated annealing, etc.
- machine learning, data mining & mathematical programming
- hybridization of techniques that span across artificial intelligence and computational intelligence for synergistic alliance of strategies for problem-solving.
- aspects of adaptation in robotics
- agent-based computing
- autonomic/pervasive computing
- dynamic optimization/learning in noisy and uncertain environment
This book series bridges the dichotomy of modern and conventional mathematical and heuristic/meta-heuristics approaches to bring about effective adaptation, learning and optimization. It propels the maxim that the old and the new can come together and be combined synergistically to scale new heights in problem-solving. To reach such a level, numerous research issues will emerge and researchers will find the book series a convenient medium to track the progresses made
Vol1-AdaptiveDifferential Evolution,Jingqiao ZhangArthur C. Sanderson,2009
Vol1.Adaptive Differential Evolution.pdf
(3.65 MB, 需要: 5 个论坛币)
Vol2-ComputationalIntelligence in Expensive Optimization Problems,Yoel TenneChi-Keong Goh,2010
Vol2.Computational Intelligence in Expensive Optimization Problems.pdf
(10.26 MB, 需要: 5 个论坛币)
Vol3-Exploitationof Linkage Learning in Evolutionary Algorithms,Ying-ping Chen,2010
Vol3.Exploitation of Linkage Learning in Evolutionary Algorithms.pdf
(5.28 MB, 需要: 5 个论坛币)
Vol4-DifferentialEvolution in Electromagnetics,Anyong QingChing Kwang Lee,2010
Vol4.Differential Evolution in Electromagnetics.pdf
(4.32 MB, 需要: 5 个论坛币)
Vol5-Agent-BasedEvolutionary Search,Ruhul Amin SarkerTapabrata Ray,2010
Vol5.Agent-Based Evolutionary Search.pdf
(5.89 MB, 需要: 5 个论坛币)
Vol6-UnifiedComputational Intelligence for Complex Systems,John SeifferttDonald C.Wunsch,2010
Vol6.Unified Computational Intelligence for Complex Systems.pdf
(2.41 MB, 需要: 5 个论坛币)
Vol7-ComputationalIntelligence in Optimization,Yoel TenneChi-Keong Goh,2010
Vol7.Computational Intelligence in Optimization.pdf
(8.02 MB, 需要: 5 个论坛币)
Vol8-Handbook ofSwarm Intelligence,Bijaya Ketan PanigrahiYuhui ShiMeng-Hiot Lim,2011
Vol8.Handbook of Swarm Intelligence.pdf
(14.04 MB, 需要: 5 个论坛币)
Vol9-Group SearchOptimization for Applications in Structural Design,Lijuan LiFeng Liu,2011
Vol9.Group Search Optimization for Applications in Structural Design.pdf
(2.6 MB, 需要: 5 个论坛币)
Vol10-EmbeddedAutomation in Human-Agent Environment,Jeffrey W. TweedaleLakhmi C. Jain,2012
Vol10.Embedded Automation in Human-Agent Environment.pdf
(4.45 MB, 需要: 5 个论坛币)
Vol11-PracticalApplications of Evolutionary Computation to Financial Engineering,HitoshiIbaClaus C. Aranha,2012
Vol11.Practical Applications of Evolutionary Computation to Financial Engineering.pdf
(6.59 MB, 需要: 5 个论坛币)
Vol12-ReinforcementLearning,Marco WieringMartijn van Otterlo,2012
Vol12.Reinforcement Learning.pdf
(14.27 MB, 需要: 5 个论坛币)
Vol13-Data Fusionin Information Retrieval,Shengli Wu,2012
Vol13.Data Fusionin Information Retrieval.pdf
(2.91 MB, 需要: 5 个论坛币)
Vol14- MarkovNetworks in Evolutionary Computation,Siddhartha ShakyaRoberto Santana,2012
Vol14.Markov Networks in Evolutionary Computation.pdf
(4.72 MB, 需要: 5 个论坛币)
Vol15-Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition,SerkanKiranyazTurker InceMoncef
Gabbouj,2014
Vol15.Multidimensional Particle Swarm Optimization for Machine Learning and Patt.rar
(14.9 MB, 需要: 5 个论坛币)
本附件包括：
Vol16-Extreme Learning Machines 2013: Algorithms and Applications,Fuchen SunKar-Ann TohManuelGrana RomayKezhi Mao,2014
Vol16.Extreme Learning Machines 2013 Algorithms and Applications.rar
(6.33 MB, 需要: 5 个论坛币)
本附件包括：
Vol17-Self-Sufficiency of an Autonomous Reconfigurable Modular Robotic Organism,Raja Humza Qadir,2015
Vol17.Self-Sufficiencyof an Autonomous Reconfigurable Modular Robotic Organism.pdf
(9.77 MB, 需要: 5 个论坛币)
Vol18-Adaptationand Hybridization in Computational Intelligence,Iztok FisterIztok FisterJr.,2015
Vol18.Adaptationand Hybridization in Computational Intelligence.pdf
(7.05 MB, 需要: 5 个论坛币)
Vol19-Computational Intelligence for Big Data Analysis,D.P. AcharjyaSatchidananda DehuriSugataSanyal,2015
Vol19.Computational Intelligence for Big Data Analysis.rar
(5.81 MB, 需要: 5 个论坛币)
本附件包括：
Vol20-RecentAdvances in Evolutionary Multi-objective Optimization,Slim BechikhRituparnaDattaAbhishek Gupta,2017
Vol-20-Recent Advances in Evolutionary Multi-objective Optimization (2017).rar
(3.07 MB, 需要: 5 个论坛币)
本附件包括：
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更多Optimization 书籍参见Springer Optimization Series &Siam Series
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