Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Nature-Inspired Algorithms for Optimisation

Nature-Inspired Algorithms for Optimisation

Chiong, Raymond

Hardcover

Series: Studies in Computational Intelligence, Book 193

Business GeneralGeneral ComputersGeneral Mathematics

ISBN10: 3642002668
ISBN13: 9783642002663
Publisher: Springer
Published: Apr 28 2009
Pages: 516
Weight: 2.03
Height: 1.19 Width: 6.14 Depth: 9.21
Language: English
Section I Introduction.- Why Is Optimization Difficult?.- The Rationale behind Seeking Inspiration from Nature.- Section II Evolutionary Intelligence.- The Evolutionary-Gradient-Search Procedure in Theory and Practice.- The Evolutionary Transition Algorithm: Evolving Complex Solutions out of Simpler Ones.- A Model-Assisted Memetic Algorithm for Expensive Optimization Problems.- A Self-Adaptive Mixed Distribution Based Uni-variate Estimation of Distribution Algorithm for Large Scale Global Optimization.- Differential Evolution with Fitness Diversity Self-Adaptation.- Central Pattern Generators: Optimisation and Application.- Section III Collective Intelligence.- Fish School Search.- Magnifier Particle Swarm Optimization.- Improved Particle Swarm Optimization in Constrained Numerical Search Spaces.- Applying River Formation Dynamics to Solve NP-Complete Problems.- Section IV Social-Natural Intelligence.- Algorithms Inspired in Social Phenomena.- Artificial Immune Systems for Optimization.- Section V Multi-Objective Optimisation.- Ranking Methods in Many-objective Evolutionary Algorithms.- On the Effect of Applying a Steady-State Selection Scheme in the Multi-Objective Genetic Algorithm NSGA-II.- Improving the Performance of Multiobjective Evolutionary Optimization Algorithms using Coevolutionary Learning.- Evolutionary Optimization for Multiobjective Portfolio Selection Under Markowitz's Model with Application to the Caracas Stock Exchange.

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