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ویرایش: 1 نویسندگان: Marco Antonio Paz-Ramos, Jose Torres-Jimenez, Enrique Quintero-Marmol-Marquez (auth.), Kalyanmoy Deb (eds.) سری: Lecture Notes in Computer Science 3103 ISBN (شابک) : 9783540223436, 3540223436 ناشر: Springer-Verlag Berlin Heidelberg سال نشر: 2004 تعداد صفحات: 1485 زبان: English فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) حجم فایل: 19 مگابایت
کلمات کلیدی مربوط به کتاب محاسبه ژنتیک و تکاملی - GECCO 2004: کنفرانس محاسبات ژنتیک و تکاملی، سیاتل، WA، USA، 26-30 ژوئن 2004. مقالات، قسمت دوم: محاسبات با دستگاه های انتزاعی، تحلیل الگوریتم و پیچیدگی مسئله، هوش مصنوعی (شامل رباتیک)، معماری پردازنده، ریاضیات گسسته در علوم کامپیوتر، بیوانفورماتیک
در صورت تبدیل فایل کتاب Genetic and Evolutionary Computation – GECCO 2004: Genetic and Evolutionary Computation Conference, Seattle, WA, USA, June 26-30, 2004. Proceedings, Part II به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب محاسبه ژنتیک و تکاملی - GECCO 2004: کنفرانس محاسبات ژنتیک و تکاملی، سیاتل، WA، USA، 26-30 ژوئن 2004. مقالات، قسمت دوم نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
بیشتر MOEA برای حفظ تنوع برای راهحلهای غیرقابل تسلط در جبهه بهینه پارتو، از فاصله متری-دیگر ازدحام روشهای فضای هدفی استفاده میکنند. با حصول اطمینان از تنوع در میان راهحلهای غیرمسلط، میتوان هنگام تلاش برای حل یک مشکل خاص، از بین راهحلهای متنوعی انتخاب کرد. فرض کنید دو تابع عینی f (x)وf (x) داریم.در این مورد میتوانیم نشان دهیم؟ne 1 2 اندازهسنجی فاصله اقلیدس و فاصله در فضای هدف بین دو افراد همسایه و بنابراین فاصلهای را به دست میآوریم که با 2 2 2 d (x ,x ) (x ,x ) (x ,x ) =[x) )?f (x)] . (1) 1 2 1 1 1 2 2 1 2 2 f wherex andx دو فرد متمایز هستند که در فضای عینی همسایه هستند. اگر 1 2 2 2 توابع بد مقیاس شده باشند، به عنوان مثال [?f (x)] [?f (x)]، متریک فاصله می تواند 1 2 به 2 2 d (x ,x ) تقریبی شود؟ [f (x)?f (x)]. (2) 1 2 1 1 1 2 f در برخی موارد این تقریب باعث گسترش قابل قبول راه حل در امتداد جبهه پارتو خواهد شد، به ویژه برای تغییرات کوچک تدریجی شیب همانطور که در مثال نشان داده شده در شکل 1 نشان داده شده است. 1.0 0.8 0.6 0.80101. جلویی با تغییرات شیب تدریجی کوچک در توزیع قابل قبول میتوان به دست آورد حتی اگر یکی از اهداف (در این مورد) از محاسبات فاصله نادیده گرفته شود. 2 همانطور که در شکل مشاهده می شود، فواصل مشخص شده با فلش ها برابر نیستند، اما راه حل ها همچنان می توانند جلو را به خوبی پوشش دهند.
MostMOEAsuseadistancemetricorothercrowdingmethodinobjectivespaceinorder to maintain diversity for the non-dominated solutions on the Pareto optimal front. By ensuring diversity among the non-dominated solutions, it is possible to choose from a variety of solutions when attempting to solve a speci?c problem at hand. Supposewehavetwoobjectivefunctionsf (x)andf (x).Inthiscasewecande?ne 1 2 thedistancemetricastheEuclideandistanceinobjectivespacebetweentwoneighboring individuals and we thus obtain a distance given by 2 2 2 d (x ,x )=[f (x )?f (x )] +[f (x )?f (x )] . (1) 1 2 1 1 1 2 2 1 2 2 f wherex andx are two distinct individuals that are neighboring in objective space. If 1 2 2 2 the functions are badly scaled, e.g.[?f (x)] [?f (x)] , the distance metric can be 1 2 approximated to 2 2 d (x ,x )? [f (x )?f (x )] . (2) 1 2 1 1 1 2 f Insomecasesthisapproximationwillresultinanacceptablespreadofsolutionsalong the Pareto front, especially for small gradual slope changes as shown in the illustrated example in Fig. 1. 1.0 0.8 0.6 0.4 0.2 0 0 20 40 60 80 100 f 1 Fig.1.Forfrontswithsmallgradualslopechangesanacceptabledistributioncanbeobtainedeven if one of the objectives (in this casef ) is neglected from the distance calculations. 2 As can be seen in the ?gure, the distances marked by the arrows are not equal, but the solutions can still be seen to cover the front relatively well.
Front Matter....Pages -
PID Controller Tuning for Stable and Unstable Processes Applying GA....Pages 1-10
Dynamic Uniform Scaling for Multiobjective Genetic Algorithms....Pages 11-23
Parameter-Less Hierarchical BOA....Pages 24-35
Computational Complexity and Simulation of Rare Events of Ising Spin Glasses....Pages 36-47
Fitness Inheritance in the Bayesian Optimization Algorithm....Pages 48-59
Limit Cycle Prediction in Multivariable Nonlinear Systems Using Genetic Algorithms....Pages 60-68
Evolving Reusable Neural Modules....Pages 69-81
How Are We Doing? Predicting Evolutionary Algorithm Performance....Pages 82-89
Introduction of a New Selection Parameter in Genetic Algorithm for Constrained Reliability Design Problems....Pages 90-101
Improving the Performance of a Genetic Algorithm Using a Variable-Reordering Algorithm....Pages 102-113
Designing Competent Mutation Operators Via Probabilistic Model Building of Neighborhoods....Pages 114-125
Let’s Get Ready to Rumble: Crossover Versus Mutation Head to Head....Pages 126-137
Classification with Scaled Genetic Algorithms in a Coevolutionary Setting....Pages 138-149
New Epistasis Measures for Detecting Independently Optimizable Partitions of Variables....Pages 150-161
Clustering with Niching Genetic K-means Algorithm....Pages 162-173
A Comparison of Genetic Programming and Genetic Algorithms in the Design of a Robust, Saturated Control System....Pages 174-185
Upper Bounds on the Time and Space Complexity of Optimizing Additively Separable Functions....Pages 186-197
Winnowing Wheat from Chaff: The Chunking GA....Pages 198-209
An Effective Chromosome Representation for Evolving Flexible Job Shop Schedules....Pages 210-221
Linkage Identification by Nonlinearity Check for Real-Coded Genetic Algorithms....Pages 222-233
Population-Based Iterated Local Search: Restricting Neighborhood Search by Crossover....Pages 234-245
Modeling Dependencies of Loci with String Classification According to Fitness Differences....Pages 246-257
The Edge-Set Encoding Revisited: On the Bias of a Direct Representation for Trees....Pages 258-270
A Gene Based Adaptive Mutation Strategy for Genetic Algorithms....Pages 271-281
Subthreshold-Seeking Behavior and Robust Local Search....Pages 282-293
Ruffled by Ridges: How Evolutionary Algorithms Can Fail....Pages 294-306
Non-stationary Subtasks Can Improve Diversity in Stationary Tasks....Pages 307-317
The Shifting Balance Genetic Algorithm as More than Just Another Island Model GA....Pages 318-329
Bistability of the Needle Function in the Presence of Truncation Selection....Pages 330-342
An Estimation of Distribution Algorithm Based on Maximum Entropy....Pages 343-354
Dependency Structure Matrix Analysis: Offline Utility of the Dependency Structure Matrix Genetic Algorithm....Pages 355-366
Toward an Understanding of the Quality and Efficiency of Model Building for Genetic Algorithms....Pages 367-378
Sexual and Asexual Paradigms in Evolution: The Implications for Genetic Algorithms....Pages 379-380
Mutation Rates in the Context of Hybrid Genetic Algorithms....Pages 381-382
Systematic Integration of Parameterized Local Search Techniques in Evolutionary Algorithms....Pages 383-384
Comparative Molecular Binding Energy Analysis of HIV-1 Protease Inhibitors Using Genetic Algorithm-Based Partial Least Squares Method....Pages 385-386
Controlled Content Crossover: A New Crossover Scheme and Its Application to Optical Network Component Allocation Problem....Pages 387-389
Efficient and Reliable Evolutionary Multiobjective Optimization Using ε -Dominance Archiving and Adaptive Population Sizing....Pages 390-391
Heuristic Methods for Solving Euclidean Non-uniform Steiner Tree Problems....Pages 392-393
Automating Evolutionary Art in the Style of Mondrian....Pages 394-395
Mutation Can Improve the Search Capability of Estimation of Distribution Algorithms....Pages 396-397
Neural Network Normalization for Genetic Search....Pages 398-399
Distance Measures in Genetic Algorithms....Pages 400-401
Analysis of a Parallel MOEA Solving the Multi-objective Quadratic Assignment Problem....Pages 402-403
Evolving Features in Neural Networks for System Identification....Pages 404-405
A Bio-inspired Genetic Algorithm with a Self-Organizing Genome: The RBF-Gene Model....Pages 406-407
Evolving Spike-Train Processors....Pages 408-409
A Philosophical Essay on Life and Its Connections with Genetic Algorithms....Pages 410-411
An Architecture for Massive Parallelization of the Compact Genetic Algorithm....Pages 412-413
An Evolutionary Technique for Multicriterial Optimization Based on Endocrine Paradigm....Pages 414-415
Evolving Golomb Rulers....Pages 416-417
Populating Genomes in a Dynamic Grid....Pages 418-419
Empirical Study of Population Diversity in Permutation-Based Genetic Algorithm....Pages 420-421
A Demonstration of Neural Programming Applied to Non-Markovian Problems....Pages 422-433
Evolving En-Route Caching Strategies for the Internet....Pages 434-446
Grammatical Constant Creation....Pages 447-458
Memetic Crossover for Genetic Programming: Evolution Through Imitation....Pages 459-470
Virtual Ramping of Genetic Programming Populations....Pages 471-482
Evolving Local Search Heuristics for SAT Using Genetic Programming....Pages 483-494
Shortcomings with Tree-Structured Edge Encodings for Neural Networks....Pages 495-506
Adapting Representation in Genetic Programming....Pages 507-518
A Descriptive Encoding Language for Evolving Modular Neural Networks....Pages 519-530
Run Transferable Libraries — Learning Functional Bias in Problem Domains....Pages 531-542
Using Genetic Programming to Obtain a Closed-Form Approximation to a Recursive Function....Pages 543-556
Comparison of Selection Strategies for Evolutionary Quantum Circuit Design....Pages 557-568
Evolving Quantum Circuits and Programs Through Genetic Programming....Pages 569-580
On Multi-class Classification by Way of Niching....Pages 581-592
On the Strength of Size Limits in Linear Genetic Programming....Pages 593-604
Softening the Structural Difficulty in Genetic Programming with TAG-Based Representation and Insertion/Deletion Operators....Pages 605-616
π Grammatical Evolution....Pages 617-629
Alternative Bloat Control Methods....Pages 630-641
Robotic Control Using Hierarchical Genetic Programming....Pages 642-653
A Competitive Building Block Hypothesis....Pages 654-665
Dynamic Limits for Bloat Control....Pages 666-677
On Naïve Crossover Biases with Reproduction for Simple Solutions to Classification Problems....Pages 678-689
Fitness Clouds and Problem Hardness in Genetic Programming....Pages 690-701
Improving Generalisation Performance Through Multiobjective Parsimony Enforcement....Pages 702-703
Using GP to Model Contextual Human Behavior....Pages 704-705
A Comparison of Hybrid Incremental Reuse Strategies for Reinforcement Learning in Genetic Programming....Pages 706-707
Humanoid Robot Programming Based on CBR Augmented GP....Pages 708-709
Genetic Network Programming with Reinforcement Learning and Its Performance Evaluation....Pages 710-711
Multi-agent Cooperation Using Genetic Network Programming with Automatically Defined Groups....Pages 712-714
Chemical Genetic Programming – Coevolution Between Genotypic Strings and Phenotypic Trees....Pages 715-716
A Study of the Role of Single Node Mutation in Genetic Programming....Pages 717-718
Multi-branches Genetic Programming as a Tool for Function Approximation....Pages 719-721
Hierarchical Breeding Control for Efficient Topology/Parameter Evolution....Pages 722-723
Keeping the Diversity with Small Populations Using Logic-Based Genetic Programming....Pages 724-725
Analysis and Improvements of the Adaptive Discretization Intervals Knowledge Representation....Pages 726-738
Bounding Learning Time in XCS....Pages 739-750
Gradient-Based Learning Updates Improve XCS Performance in Multistep Problems....Pages 751-762
System Level Hardware–Software Design Exploration with XCS....Pages 763-773
Parameter Adaptation within Co-adaptive Learning Classifier Systems....Pages 774-784
High Classification Accuracy Does Not Imply Effective Genetic Search....Pages 785-796
Mixed Decision Trees: Minimizing Knowledge Representation Bias in LCS....Pages 797-809
Improving MACS Thanks to a Comparison with 2TBNs....Pages 810-823
Classifier Systems for Continuous Payoff Environments....Pages 824-835
Confidence and Support Classification Using Genetically Programmed Neural Logic Networks....Pages 836-837
An Evolutionary Constraint Satisfaction Solution for Over the Cell Channel Routing....Pages 838-849
Solution to the Fixed Airbase Problem for Autonomous URAV Site Visitation Sequencing....Pages 850-858
Inflight Rerouting for an Unmanned Aerial Vehicle....Pages 859-868
Memetic Optimization of Video Chain Designs....Pages 869-882
A Broad and Narrow Approach to Interactive Evolutionary Design – An Aircraft Design Example....Pages 883-895
Feature Synthesis Using Genetic Programming for Face Expression Recognition....Pages 896-907
An Enhanced Genetic Algorithm for DNA Sequencing by Hybridization with Positive and Negative Errors....Pages 908-919
Unveiling Optimal Operating Conditions for an Epoxy Polymerization Process Using Multi-objective Evolutionary Computation....Pages 920-931
Efficient Clustering-Based Genetic Algorithms in Chemical Kinetic Modelling....Pages 932-944
An Informed Operator Based Genetic Algorithm for Tuning the Reaction Rate Parameters of Chemical Kinetics Mechanisms....Pages 945-956
Transfer of Neuroevolved Controllers in Unstable Domains....Pages 957-968
Evolving Wavelets Using a Coevolutionary Genetic Algorithm and Lifting....Pages 969-980
Optimization of Constructive Solid Geometry Via a Tree-Based Multi-objective Genetic Algorithm....Pages 981-992
Co-evolutionary Agent Self-Organization for City Traffic Congestion Modeling....Pages 993-1004
Validating a Model of Colon Colouration Using an Evolution Strategy with Adaptive Approximations....Pages 1005-1016
Evolution-Based Deliberative Planning for Cooperating Unmanned Ground Vehicles in a Dynamic Environment....Pages 1017-1029
Optimized Design of MEMS by Evolutionary Multi-objective Optimization with Interactive Evolutionary Computation....Pages 1030-1041
Hybrid Genetic Algorithms for Multi-Objective Optimisation of Water Distribution Networks....Pages 1042-1053
A Hybrid Genetic Approach for Circuit Bipartitioning....Pages 1054-1064
Lagrange Multiplier Method for Multi-campaign Assignment Problem....Pages 1065-1077
Biomass Inferential Sensor Based on Ensemble of Models Generated by Genetic Programming....Pages 1078-1089
CellNet Co-Ev: Evolving Better Pattern Recognizers Using Competitive Co-evolution....Pages 1090-1101
Evolutionary Ensemble for Stock Prediction....Pages 1102-1113
Discovery of Human-Competitive Image Texture Feature Extraction Programs Using Genetic Programming....Pages 1114-1125
Evolutionary Drug Scheduling Model for Cancer Chemotherapy....Pages 1126-1137
An Island-Based GA Implementation for VLSI Standard-Cell Placement....Pages 1138-1150
Exploratory Data Analysis with Interactive Evolution....Pages 1151-1161
Designing Multiplicative General Parameter Filters Using Adaptive Genetic Algorithms....Pages 1162-1176
Reducing the Cost of the Hybrid Evolutionary Algorithm with Image Local Response in Electronic Imaging....Pages 1177-1188
The Lens Design Using the CMA-ES Algorithm....Pages 1189-1200
Automatic Synthesis of an 802.11a Wireless LAN Antenna Using Genetic Programming....Pages 1201-1213
A Generic Network Design for a Closed-Loop Supply Chain Using Genetic Algorithm....Pages 1214-1225
Evolving a Roving Eye for Go....Pages 1226-1238
Comparing Discrete and Continuous Genotypes on the Constrained Portfolio Selection Problem....Pages 1239-1250
Learning Environment for Life Time Value Calculation of Customers in Insurance Domain....Pages 1251-1262
Multiple Species Weighted Voting – A Genetics-Based Machine Learning System....Pages 1263-1274
Object Oriented Design and Implementation of a General Evolutionary Algorithm....Pages 1275-1286
Generating Multiaxis Tool Paths for Die and Mold Making with Evolutionary Algorithms....Pages 1287-1298
Tackling an Inverse Problem from the Petroleum Industry with a Genetic Algorithm for Sampling....Pages 1299-1300
A Genetic Approach for Generating Good Linear Block Error-Correcting Codes....Pages 1301-1302
Genetic Fuzzy Discretization for Classification Problems....Pages 1303-1304
A Genetic Algorithm for the Shortest Common Superstring Problem....Pages 1305-1306
A Genetic Algorithm to Improve Agent-Oriented Natural Language Interpreters....Pages 1307-1309
Optimization of Gaussian Mixture Model Parameters for Speaker Identification....Pages 1310-1311
Network Intrusion Detection Using Genetic Clustering....Pages 1312-1313
Enhanced Innovation: A Fusion of Chance Discovery and Evolutionary Computation to Foster Creative Processes and Decision Making....Pages 1314-1315
Development of a Genetic Algorithm for Optimization of Nanoalloys....Pages 1316-1317
Empirical Performance Evaluation of a Parameter-Free GA for JSSP....Pages 1318-1319
A Caching Genetic Algorithm for Spectral Breakpoint Matching....Pages 1320-1321
Multi-agent Simulation of Airline Travel Markets....Pages 1322-1323
Improved Niching and Encoding Strategies for Clustering Noisy Data Sets....Pages 1324-1325
A Multi-objective Approach to Configuring Embedded System Architectures....Pages 1326-1327
Achieving Shorter Search Times in Voice Conversion Using Interactive Evolution....Pages 1328-1329
Predicting Healthcare Costs Using Classifiers....Pages 1330-1331
Generating Compact Rough Cluster Descriptions Using an Evolutionary Algorithm....Pages 1332-1333
An Evolutionary Meta Hierarchical Scheduler for the Linux Operating System....Pages 1334-1335
An Evolutionary Algorithm for Parameters Identification in Parabolic Systems....Pages 1336-1337
How to Overcome the Equivalent Mutant Problem and Achieve Tailored Selective Mutation Using Co-evolution....Pages 1338-1349
Evaluating Evolutionary Testability with Software-Measurements....Pages 1350-1362
Hybridizing Evolutionary Testing with the Chaining Approach....Pages 1363-1374
Using Interconnection Style Rules to Infer Software Architecture Relations....Pages 1375-1387
Finding Effective Software Metrics to Classify Maintainability Using a Parallel Genetic Algorithm....Pages 1388-1399
Evaluation of Different Fitness Functions for the Evolutionary Testing of an Autonomous Parking System....Pages 1400-1412
Search Based Automatic Test-Data Generation at an Architectural Level....Pages 1413-1424
Search-Based Techniques for Optimizing Software Project Resource Allocation....Pages 1425-1426
Applying Evolutionary Testing to Search for Critical Defects....Pages 1427-1428
Input Sequence Generation for Testing of Communicating Finite State Machines (CFSMs)....Pages 1429-1430
TDSGen: An Environment Based on Hybrid Genetic Algorithms for Generation of Test Data....Pages 1431-1432
Back Matter....Pages -