Nature inspired cooperative strategies for optimization (NICSO 2008)
著者
書誌事項
Nature inspired cooperative strategies for optimization (NICSO 2008)
(Studies in computational intelligence, v. 236)
Springer, c2009
大学図書館所蔵 全4件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
Includes bibliographical references
内容説明・目次
内容説明
The inspiration from Biology and the Natural Evolution process has become a research area within computer science. For instance, the description of the arti?cial neuron given by McCulloch and Pitts was inspired from biological observations of neural mechanisms; the power of evolution in nature in the diverse species that make up our world has been related to a particular form of problem solving based on the idea of survival of the ?ttest; similarly, - ti?cial immune systems, ant colony optimisation, automated self-assembling programming, membrane computing, etc. also have their roots in natural phenomena. The ?rst and second editions of the International Workshop on Nature Inspired Cooperative Strategies for Optimization (NICSO), were held in Granada, Spain, 2006, and in Acireale, Italy, 2007, respectively. As in these two previous editions, the aim of NICSO 2008, held in Tenerife, Spain, was to provide a forum were the latest ideas and state of the art research related to nature inspired cooperative strategies for problem solving were discussed. The contributions collected in this book were strictly peer reviewed by at least three members of the international programme committee, to whom we are indebted for their support and assistance. The topics covered by the contributionsincludenature-inspiredtechniqueslikeGeneticAlgorithms,Ant Colonies, Amorphous Computing, Arti?cial Immune Systems, Evolutionary Robotics, Evolvable Systems, Membrane Computing, Quantum Computing, Software Self Assembly, Swarm Intelligence, etc.
目次
Exploration in Stochastic Algorithms: An Application on - Ant System.- Sensitive Ants: Inducing Diversity in the Colony.- Decentralised Communication and Connectivity in Ant Trail Networks.- Detection of Non-structured Roads Using Visible and Infrared Images and an Ant Colony Optimization Algorithm.- A Nature Inspired Approach for the Uncapacitated Plant Cycle Location Problem.- Particle Swarm Topologies for Resource Constrained Project Scheduling.- Discrete Particle Swarm Optimization Algorithm for Data Clustering.- A Simple Distributed Particle Swarm Optimization for Dynamic and Noisy Environments.- Exploring Feasible and Infeasible Regions in the Vehicle Routing Problem with Time Windows Using a Multi-objective Particle Swarm Optimization Approach.- Two-Swarm PSO for Competitive Location Problems.- Aerodynamic Wing Optimisation Using SOMA Evolutionary Algorithm.- Experimental Analysis of a Variable Size Mono-population Cooperative-Coevolution Strategy.- Genetic Algorithm for Tardiness Minimization in Flowshop with Blocking.- Landscape Mapping by Multi-population Genetic Algorithm.- An Interactive Simulated Annealing Multi-agents Platform to Solve Hierarchical Scheduling Problems with Goals.- Genetic Algorithm and Advanced Tournament Selection Concept.- Terrain-Based Memetic Algorithms for Vector Quantizer Design.- Cooperating Classifiers.- Evolutionary Multimodal Optimization for Nash Equilibria Detection.- On the Computational Properties of the Multi-Objective Neural Estimation of Distribution Algorithm.- Optimal Time Delay in the Control of Epidemic.- Parallel Hypervolume-Guided Hyperheuristic for Adapting the Multi-objective Evolutionary Island Model.- A Cooperative Strategy for Guiding the Corridor Method.- On the Performance of Homogeneous and Heterogeneous Cooperative Search Strategies.
「Nielsen BookData」 より