Proceedings in 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 •systemic alliance of stochastic and conventional search techniques •all aspects of adaptations in man-machine systems. 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.

Vol. 1  Proceedings of the 18th Asia Pacific Symposiumon Intelligent and Evolutionary Systems, Volume 1

          Handa, H., Ishibuchi, H., Ong, Y.S., Tan,K.-C. (Eds.)2015

         

Vol. 2   Proceedingsof the 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems -Volume 2

          Handa, H., Ishibuchi, H., Ong, Y.-S.,Tan, K.C. (Eds.)2015

         

Vol. 3   Proceedingsof ELM-2014 Volume 1 Algorithmsand Theories

         Cao, J., Mao, K., Cambria, E., Man, Z.,Toh, K.-A. (Eds.)2015

         

Vol. 4   Proceedings of ELM-2014 Volume 2 Applications

         Cao, J., Mao, K., Cambria, E., Man, Z.,Toh, K.-A. (Eds.)2015

         

Vol. 5    Intelligentand Evolutionary Systems

         The 19th Asia PacificSymposium, IES 2015, Bangkok, Thailand, November 2015, Proceedings

         Lavangnananda, K., Phon-Amnuaisuk, S.,Engchuan, W., Chan, J.H. (Eds.)2016

            

Vol. 6  Proceedingsof ELM-2015 Volume 1 Theory,Algorithms and Applications (I)

          Cao, J., Mao, K., Wu, J., Lendasse, A.(Eds.)2016

         

Vol. 7  Proceedingsof ELM-2015 Volume 2 Theory,Algorithms and Applications (II)

          Cao, J., Mao, K., Wu, J., Lendasse, A.(Eds.)2016

            

Vol. 8  Intelligentand Evolutionary Systems The20th Asia Pacific Symposium, IES 2016, Canberra, Australia,November 2016, Proceedings

                            Leu, George, Singh, Hemant Kumar,Elsayed, Saber (Eds.)2017

         

Vol. 9   Proceedings of ELM-2016

                            Cao, J., Cambria, E., Lendasse, A.,Miche, Y., Vong, C.M. (Eds.)2018

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参见Springer Optimization Series &Siam Series