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Natural computing series

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Natural computing series

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Table of Contents

  • Self-organizing software : from natural to artificial adaptation

  • Theoretical aspects of evolutionary computing

  • Biologically inspired algorithms for financial modelling

  • Theory and principled methods for the design of metaheuristics

  • Analyzing evolutionary algorithms : the computer science perspective

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Related Material
Self-organizing software : from natural to artificial adaptation
Theoretical aspects of evolutionary computing
Biologically inspired algorithms for financial modelling
Theory and principled methods for the design of metaheuristics
Analyzing evolutionary algorithms : the computer science perspective
Introduction to evolutionary computing
The Theory of Evolution Strategies
Advances in metaheuristics for hard optimization
Algorithmic aspects of bioinformatics
Bee-inspired protocol engineering : from nature to networks
Swarm intelligence : introduction and applications
Designing evolutionary algorithms for dynamic environments
Contemporary Evolution Strategies
Membrane computing : an introduction
Discrete and topological models in molecular biology
Evolution as computation : DIMACS workshop, Princeton, January 1999
Theoretical and experimental DNA computation
Multiobjective problem solving from nature : from concepts to applications
Advances in evolutionary computing : theory and applications
Spatially structured evolutionary algorithms : artificial evolution in space and time
Modelling in molecular biology
Quantum computing
Applications of membrane computing
Evolutionary computer vision : the first footprints
Algorithmic bioprocesses
Design by evolution : advances in evolutionary design
Advances in computational intelligence : :theory and practice/ Hans-Paul Schwefel, Ingo Wegener, Klaus Weinert
Data mining and knowledge discovery with evolutionary algorithms
Bioinspired computation in combinatorial optimization : algorithms and their computational complexity
Evolutionary algorithms : the role of mutation and recombination
Natural Computing Algorithms
Introduction to evolutionary computing
Evolutionary algorithms : the role of mutation and recombination
Introduction to evolutionary computing
Evolvable hardware : from practice to application
Theoretical and experimental DNA computation
Automating the design of data mining algorithms : an evolutionary computation approach
Computation in cells and tissues : perspectives and tools of thought
Differential evolution : a practical approach to global optimization
Quantum computing
Nanotechnology : science and computation
The art of artificial evolution : a handbook on evolutionary art and music
Multimodal optimization by means of evolutionary algorithms
Classification and learning using genetic algorithms : applications in bioinformatics and web intelligence
Computation in living cells : gene assembly in ciliates
Massively parallel evolutionary computation on GPGPUs
Differential evolution : A practical approach to global optimization
Evolvable components : from theory to hardware implementations
Sensitivity analysis for neural networks
Cartesian genetic programming
Experimental research in evolutionary computation : the new experimentalism
Design of modern heuristics : principles and application
Mobility in process calculi and natural computing
An introduction to metaheuristics for optimization
Deep neural evolution : deep learning with evolutionary computation
Natural inspired optimisation for delivery problems : from theory to the real world
Theory of evolutionary computation : recent developments in discrete optimization
Deep neural evolution : deep learning with evolutionary computation
Reservoir computing : theory, physical implementations, and applications
The science of soft robots : design, materials and information processing
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国立情報学研究所 : CiNii Research
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CiNii Books
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https://ci.nii.ac.jp/ncid/BA47228389 : BA47228389