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Simulated Evolution and Learning

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Cover of 'Simulated Evolution and Learning'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Beyond Convexity: New Perspectives in Computational Optimization
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    Chapter 2 Optimal μ -Distributions for the Hypervolume Indicator for Problems with Linear Bi-objective Fronts: Exact and Exhaustive Results
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    Chapter 3 A Parallel Algorithm for Solving Large Convex Minimax Problems
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    Chapter 4 Towards Efficient and Effective Negative Selection Algorithm: A Convex Hull Representation Scheme
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    Chapter 5 To Handle Real Valued Input in XCS: Using Fuzzy Hyper-trapezoidal Membership in Classifier Condition
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    Chapter 6 Development of Optimal Control System for Safe Distance of Platooning Using Model Predictive Control
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    Chapter 7 A Comparative Study on Theoretical and Empirical Evolution of Population Variance of Differential Evolution Variants
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    Chapter 8 Generating Sequential Space-Filling Designs Using Genetic Algorithms and Monte Carlo Methods
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    Chapter 9 MP-EDA: A Robust Estimation of Distribution Algorithm with Multiple Probabilistic Models for Global Continuous Optimization
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    Chapter 10 A Bi-criterion Approach to Multimodal Optimization: Self-adaptive Approach
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    Chapter 11 On the Flexible Applied Boundary and Support Conditions of Compliant Mechanisms Using Customized Evolutionary Algorithm
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    Chapter 12 Simulated Evolution and Learning
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    Chapter 13 Comparing Two Constraint Handling Techniques in a Binary-Coded Genetic Algorithm for Optimization Problems
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    Chapter 14 Evolving Stories: Tree Adjoining Grammar Guided Genetic Programming for Complex Plot Generation
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    Chapter 15 Improving Differential Evolution by Altering Steps in EC
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    Chapter 16 A Dynamic Island-Based Genetic Algorithms Framework
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    Chapter 17 Solving the Optimal Coverage Problem in Wireless Sensor Networks Using Evolutionary Computation Algorithms
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    Chapter 18 Simulated Evolution and Learning
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    Chapter 19 Evolutionary FCMAC-BYY Applied to Stream Data Analysis
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    Chapter 20 UNIFAC Group Interaction Prediction for Ionic Liquid-Thiophene Based Systems Using Genetic Algorithm
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    Chapter 21 HIER-HEIR: An Evolutionary System with Hierarchical Representation and Operators Applied to Fashion Design
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    Chapter 22 A Population Diversity-Oriented Gene Expression Programming for Function Finding
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    Chapter 23 Evolutionary Optimization of Catalysts Assisted by Neural-Network Learning
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    Chapter 24 Dominance-Based Pareto-Surrogate for Multi-Objective Optimization
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    Chapter 25 Learning Cellular Automata Rules for Pattern Reconstruction Task
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    Chapter 26 Evolving Fuzzy Rules: Evaluation of a New Approach
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    Chapter 27 A Niched Genetic Programming Algorithm for Classification Rules Discovery in Geographic Databases
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    Chapter 28 Artificial Neural Network Modeling for Estimating the Depth of Penetration and Weld Bead Width from the Infra Red Thermal Image of the Weld Pool during A-TIG Welding
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    Chapter 29 Swarm Reinforcement Learning Method Based on an Actor-Critic Method
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    Chapter 30 XCS Revisited: A Novel Discovery Component for the eXtended Classifier System
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    Chapter 31 Supplanting Neural Networks with ODEs in Evolutionary Robotics
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    Chapter 32 Parallel Distributed Implementation of Genetics-Based Machine Learning for Fuzzy Classifier Design
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    Chapter 33 Multi-Objective Evolutionary Algorithms for Feature Selection: Application in Bankruptcy Prediction
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    Chapter 34 Tile Pasting P System with Multiple-Edge Pasting
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    Chapter 35 Modeling and Automation of Diagnosis and Treatment of Diabetes
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    Chapter 36 The Evolution of Fuzzy Classifier for Data Mining with Applications
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    Chapter 37 PID Step Response Using Genetic Programming
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    Chapter 38 Divide and Evolve Driven by Human Strategies
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    Chapter 39 A Genetic Algorithm for Assigning Individuals to Populations Using Multi-locus Genotyping
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    Chapter 40 Extended Q-Learning Algorithm for Path-Planning of a Mobile Robot
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    Chapter 41 An XML Format for Sharing Evolutionary Algorithm Output and Analysis
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    Chapter 42 Car Setup Optimisation
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    Chapter 43 Robustness of Multi-objective Optimal Solutions to Physical Deterioration through Active Control
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    Chapter 44 Non-dimensional Multi-objective Performance Optimization of Single Stage Thermoelectric Cooler
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    Chapter 45 Multi-Objective Optimization of Particle Reinforced Silicone Rubber Mould Material for Soft Tooling Process
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    Chapter 46 Comparative Application of Multi-Objective Evolutionary Algorithms to the Voltage and Reactive Power Optimization Problem in Power Systems
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    Chapter 47 Bayesian Reliability Analysis under Incomplete Information Using Evolutionary Algorithms
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    Chapter 48 Optimisation of Double Wishbone Suspension System Using Multi-Objective Genetic Algorithm
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    Chapter 49 Self-Controlling Dominance Area of Solutions in Evolutionary Many-Objective Optimization
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    Chapter 50 Optimum Design of Balanced SAW Filters Using Multi-Objective Differential Evolution
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    Chapter 51 Optimizing the Risk of Occupational Health Hazard in a Multiobjective Decision Environment using NSGA-II
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    Chapter 52 Tuning Process Parameters of Electrochemical Machining Using a Multi-objective Genetic Algorithm: A Preliminary Study
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    Chapter 53 The Optimization versus Survival Problem and Its Solution by an Evolutionary Multi Objective Algorithm
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    Chapter 54 Synthesis of Difference Patterns for Monopulse Antenna Arrays – An Evolutionary Multi-objective Optimization Approach
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    Chapter 55 Performance of Lognormal Probability Distribution in Crossover Operator of NSGA-II Algorithm
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    Chapter 56 Metamodels for Fast Multi-objective Optimization: Trading Off Global Exploration and Local Exploitation
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    Chapter 57 Integrated Location-Inventory Retail Supply Chain Design: A Multi-objective Evolutionary Approach
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    Chapter 58 Multi-Objective Job Shop Scheduling Based on Multiagent Evolutionary Algorithm
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    Chapter 59 A Preference Oriented Two-Layered Multiagent Evolutionary Algorithm for Multi-Objective Job Shop Problems
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    Chapter 60 Using an Adaptation of a Binary Search Tree to Improve the NSGA-II Nondominated Sorting Procedure
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    Chapter 61 A Hybrid Method for Multi-Objective Shape Optimization
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    Chapter 62 Evolutionary Multi-Objective Bacterial Swarm Optimization (MOBSO): A Hybrid Approach
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    Chapter 63 Multi-Objective Optimisation of Web Business Processes
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    Chapter 64 Multi Objective Optimization of Planetary Gear Train
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    Chapter 65 Multi-objective Control Systems Design with Criteria Reduction
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    Chapter 66 Probabilistic Based Evolutionary Optimizers in Bi-objective Travelling Salesman Problem
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    Chapter 67 Automatic Shape Independent Shell Clustering Using an Ant Based Approach
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    Chapter 68 Hybrid Search for Faster Production and Safer Process Conditions in Friction Stir Welding
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    Chapter 69 Hybrid Optimization Scheme for Radial Basis Function Neural Network
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    Chapter 70 Modified Levenberg Marquardt Algorithm for Inverse Problems
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    Chapter 71 Constrained Engineering Design Optimization Using a Hybrid Bi-objective Evolutionary-Classical Methodology
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    Chapter 72 A Many-Objective Optimisation Decision-Making Process Applied to Automotive Diesel Engine Calibration
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    Chapter 73 A Modular Decision-Tree Architecture for Better Problem Understanding
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    Chapter 74 Virtual Manufacturing Cell Design Using a PSO Approach with Alternative Neighbourhood Topologies
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    Chapter 75 Energy Saving System for Office Lighting by Using PSO and ZigBee Network
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    Chapter 76 EcoSupply: A Machine Learning Framework for Analyzing the Impact of Ecosystem on Global Supply Chain Dynamics
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    Chapter 77 A Data-Mining Method for Detection of Complex Nonlinear Relations Applied to a Model of Apoptosis in Cell Populations
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    Chapter 78 An Implementation of Pareto Set Pursuing Technique for Concept Vehicle Design
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    Chapter 79 EPIC: Efficient Integration of Partitional Clustering Algorithms for Classification
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    Chapter 80 Toward Optimal Disk Layout of Genome Scale Suffix Trees
Overall attention for this book and its chapters
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

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Title
Simulated Evolution and Learning
Published by
ADS, November 2010
DOI 10.1007/978-3-642-17298-4
ISBNs
978-3-64-217298-4, 978-3-64-217297-7
Authors

Deb, Kalyanmoy, Bhattacharya, Arnab, Chakraborti, Nirupam, Chakroborty, Partha, Das, Swagatam, Dutta, Joydeep, Gupta, Santosh K., Jain, Ashu, Aggarwal, Varun, Branke, Jürgen, Louis, Sushil J., Tan, Kay Chen

Editors

Deb, Kalyanmoy, Bhattacharya, Arnab, Chakraborti, Nirupam, Chakroborty, Partha, Das, Swagatam, Dutta, Joydeep, Gupta, Santosh K., Jain, Ashu, Aggarwal, Varun, Branke, Jürgen, Louis, Sushil J., Tan, Kay Chen

Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 November 2010.
All research outputs
#5,870,486
of 23,312,088 outputs
Outputs from ADS
#7,413
of 37,822 outputs
Outputs of similar age
#42,152
of 181,880 outputs
Outputs of similar age from ADS
#146
of 662 outputs
Altmetric has tracked 23,312,088 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 37,822 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 80% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 181,880 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 662 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.