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Nature Inspired Cooperative Strategies for Optimization (NICSO 2008)

Nature Inspired Cooperative Strategies for Optimization (NICSO 2008)

 

305,87 €
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Editorial:
Springer Nature B.V.
Año de edición:
2012
Materia
Inteligencia artificial
ISBN:
9783642260346
305,87 €
IVA incluido
Disponible

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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.

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