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Parallel Problem Solving from Nature, PPSN XI

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Cover of 'Parallel Problem Solving from Nature, PPSN XI'

Table of Contents

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    Book Overview
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    Chapter 1 A Novel Smart Multi-Objective Particle Swarm Optimisation Using Decomposition
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    Chapter 2 A Hybrid Scalarization and Adaptive ε -Ranking Strategy for Many-Objective Optimization
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    Chapter 3 pMODE-LD+SS: An Effective and Efficient Parallel Differential Evolution Algorithm for Multi-Objective Optimization
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    Chapter 4 Improved Dynamic Lexicographic Ordering for Multi-Objective Optimisation
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    Chapter 5 Privacy-Preserving Multi-Objective Evolutionary Algorithms
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    Chapter 6 Optimizing Delivery Time in Multi-Objective Vehicle Routing Problems with Time Windows
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    Chapter 7 Speculative Evaluation in Particle Swarm Optimization
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    Chapter 8 Towards Directed Open-Ended Search by a Novelty Guided Evolution Strategy
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    Chapter 9 Consultant-Guided Search Algorithms with Local Search for the Traveling Salesman Problem
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    Chapter 10 Many-Objective Test Problems to Visually Examine the Behavior of Multiobjective Evolution in a Decision Space
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    Chapter 11 Preference-Based Multi-Objective Particle Swarm Optimization Using Desirabilities
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    Chapter 12 GPGPU-Compatible Archive Based Stochastic Ranking Evolutionary Algorithm (G-ASREA) for Multi-Objective Optimization
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    Chapter 13 Hybrid Directional-Biased Evolutionary Algorithm for Multi-Objective Optimization
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    Chapter 14 A Framework for Incorporating Trade-Off Information Using Multi-Objective Evolutionary Algorithms
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    Chapter 15 Topography-Aware Sensor Deployment Optimization with CMA-ES
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    Chapter 16 Evolutionary Optimization on Problems Subject to Changes of Variables
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    Chapter 17 On-Line Purchasing Strategies for an Evolutionary Algorithm Performing Resource-Constrained Optimization
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    Chapter 18 Parallel Artificial Immune System in Optimization and Identification of Composite Structures
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    Chapter 19 Bioreactor Control by Genetic Programming
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    Chapter 20 Solving the One-Commodity Pickup and Delivery Problem Using an Adaptive Hybrid VNS/SA Approach
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    Chapter 21 Testing the Dinosaur Hypothesis under Empirical Datasets
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    Chapter 22 Fractal Gene Regulatory Networks for Control of Nonlinear Systems
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    Chapter 23 An Effective Hybrid Evolutionary Local Search for Orienteering and Team Orienteering Problems with Time Windows
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    Chapter 24 Discrete Differential Evolution Algorithm for Solving the Terminal Assignment Problem
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    Chapter 25 Decentralized Evolutionary Agents Streamlining Logistic Network Design
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    Chapter 26 Testing the Permutation Space Based Geometric Differential Evolution on the Job-Shop Scheduling Problem
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    Chapter 27 New Uncertainty Handling Strategies in Multi-objective Evolutionary Optimization
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    Chapter 28 Evolving a Single Scalable Controller for an Octopus Arm with a Variable Number of Segments
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    Chapter 29 An Island Model for the No-Wait Flow Shop Scheduling Problem
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    Chapter 30 Environment-Driven Embodied Evolution in a Population of Autonomous Agents
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    Chapter 31 Large-Scale Global Optimization Using Cooperative Coevolution with Variable Interaction Learning
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    Chapter 32 EvoShelf : A System for Managing and Exploring Evolutionary Data
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    Chapter 33 Differential Evolution Algorithms with Cellular Populations
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    Chapter 34 Flocking in Stationary and Non-stationary Environments: A Novel Communication Strategy for Heading Alignment
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    Chapter 35 Evolution of XPath Lists for Document Data Selection
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    Chapter 36 PMF: A Multicore-Enabled Framework for the Construction of Metaheuristics for Single and Multiobjective Optimization
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    Chapter 37 Parallel Evolutionary Approach of Compaction Problem Using MapReduce
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    Chapter 38 Ant Colony Optimization with Immigrants Schemes in Dynamic Environments
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    Chapter 39 Secret Key Specification for a Variable-Length Cryptographic Cellular Automata Model
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    Chapter 40 Variable Neighborhood Search and Ant Colony Optimization for the Rooted Delay-Constrained Minimum Spanning Tree Problem
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    Chapter 41 Adaptive Modularization of the MAPK Signaling Pathway Using the Multiagent Paradigm
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    Chapter 42 Experimental Comparison of Methods to Handle Boundary Constraints in Differential Evolution
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    Chapter 43 Entropy-Driven Evolutionary Approaches to the Mastermind Problem
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    Chapter 44 Evolutionary Detection of New Classes of Equilibria: Application in Behavioral Games
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    Chapter 45 Design and Comparison of two Evolutionary Approaches for Solving the Rubik’s Cube
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    Chapter 46 Statistical Analysis of Parameter Setting in Real-Coded Evolutionary Algorithms
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    Chapter 47 Performance of Network Crossover on NK Landscapes and Spin Glasses
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    Chapter 48 Parallel Problem Solving from Nature, PPSN XI
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    Chapter 49 A Genetic Programming Approach to the Matrix Bandwidth-Minimization Problem
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    Chapter 50 Using Co-solvability to Model and Exploit Synergetic Effects in Evolution
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    Chapter 51 Fast Grammar-Based Evolution Using Memoization
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    Chapter 52 Evolution of Conventions and Social Polarization in Dynamical Complex Networks
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    Chapter 53 Evolving Strategies for Updating Pheromone Trails: A Case Study with the TSP
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    Chapter 54 The Role of Syntactic and Semantic Locality of Crossover in Genetic Programming
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    Chapter 55 The Layered Learning Method and Its Application to Generation of Evaluation Functions for the Game of Checkers
Attention for Chapter 41: Adaptive Modularization of the MAPK Signaling Pathway Using the Multiagent Paradigm
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Chapter title
Adaptive Modularization of the MAPK Signaling Pathway Using the Multiagent Paradigm
Chapter number 41
Book title
Parallel Problem Solving from Nature, PPSN XI
Published by
Springer, Berlin, Heidelberg, September 2010
DOI 10.1007/978-3-642-15871-1_41
Book ISBNs
978-3-64-215870-4, 978-3-64-215871-1
Authors

Abbas Sarraf Shirazi, Sebastian von Mammen, Christian Jacob, Sarraf Shirazi, Abbas, von Mammen, Sebastian, Jacob, Christian

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 2 13%
United Kingdom 1 7%
Unknown 12 80%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 13%
Researcher 2 13%
Student > Doctoral Student 2 13%
Student > Bachelor 1 7%
Professor 1 7%
Other 5 33%
Unknown 2 13%
Readers by discipline Count As %
Computer Science 8 53%
Agricultural and Biological Sciences 2 13%
Environmental Science 1 7%
Physics and Astronomy 1 7%
Engineering 1 7%
Other 0 0%
Unknown 2 13%