Bilaketaren emaitzak - "genetic algorithms"

Genetic algorithms principles and perspectives : a guide to GA theory / nork Reeves, Colin R.

Gaiak: “...Genetic algorithms....”
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Cellular Genetic Algorithms nork Dorronsoro, Bernabe

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Fuzzy modeling and genetic algorithms for data mining and exploration nork Cox, Earl

Gaiak: “...Genetic algorithms....”
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Spatial evolutionary modeling nork Krzanowski, Roman

Gaiak: “...Genetic algorithms....”
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Evolutionary algorithms for mobile ad hoc networks / nork Dorronsoro, Bernabé

Gaiak: “...Genetic algorithms....”
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Evolutionary algorithms in theory and practice evolution strategies, evolutionary programming, genetic algorithms / nork Bäck, Thomas, 1963-

Gaiak: “...Genetic algorithms....”
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Intelligence emerging : adaptivity and search in evolving neural systems / nork Downing, Keith L.

Gaiak: “...Genetic algorithms....”
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Evolutionary computation in gene regulatory network research /

Gaiak: “...Genetic algorithms....”
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Robust range image registration using genetic algorithms and the surface interpenetration measure / nork Silva, Luciano Afonso da, 1973-

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A-Life for music : music and computer models of living systems /

Gaiak: “...Genetic algorithms....”
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Optimization of unit commitment and economic dispatch in microgrids based on genetic algorithm and mixed integer linear programming / nork Nemati, Moshen Shiralizadeh

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Key concepts & techniques in GIS / nork Albrecht, Jochen

Aurkibidea: “...Genetic algorithms --...”
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Genetic and evolutionary computation medical applications /

Aurkibidea: “...Hernández-Cisneros and Hugo Terashima-Marin -- Hybrid detection of features within the retinal fundus using a genetic algorithm / Vitoantonio Bevilacqua ... [et al.] -- Genetic programming for exploring medical data using visual spaces / Julio J. ...”
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Complexity a guided tour / nork Mitchell, Melanie

Aurkibidea: “...Self-reproducing computer programs ; Genetic algorithms -- Computation writ large. Cellular automata, life, and the universe ; Computing with particles ; Information processing in living systems ; How to make analogies (if you are a computer) ; Prospects of computer modeling -- Network thinking. ...”
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Data mining techniques for marketing, sales, and customer relationship management / nork Berry, Michael J. A.

Aurkibidea: “...-- The virtuous cycle of data mining -- Data mining methodology and best practices -- Data mining applications in marketing and customer relationship management -- The lure of statistics: data mining using familiar tools -- Decision trees -- Artificial neural networks -- Nearest neighbor approaches : memory-based reasoning and collaborative filtering -- Market basket analysis and association rules -- Link analysis -- Automatic Cluster detection -- Knowing when to worry: hazard functions and survival analysis in marketing -- Genetic algorithms -- Data mining throughout the customer life cycle -- Data warehousing, OLAP, and data mining -- Building the data mining environment -- Preparing data for mining -- Putting data mining to work....”
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Bridge health monitoring, maintenance and safety special topic volume with invited peer reviewed papers only /

Aurkibidea: “...Modal test and analysis of a bridge under the varying temperature condition -- Bridge significant failure mode identification strategy under traffic-load -- Fatigue reliability analysis of the stay cables of cable-stayed bridge under combined loads of stochastic traffic and wind -- Updating the finite element model of a bridge model using a hybrid optimization method -- An improved Taguchi method and its application in finite element model updating of bridges -- Nonlinear seismic response analysis of half through CFST arch bridge under 3-D earthquake waves -- Simplified seismic response assessment method and parametric study of multi-girder skew bridges -- Seismic testing of a long-span concrete filled steel tubular arch bridge -- Study on finite element model of bridge multi-pile foundation -- Sensor optimal placement for bridge structure based on single parents genetic algorithm with different fitness functions....”
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On site geoarchaeology on a Neolithic tell site in Greece archaeological sediments, microartifacts and software development /

Aurkibidea: “...Confirming the use of genetic algorithm minimization on microartifact weight estimation / Dimitris Kontogiorgos, Alexandros Leontitsis -- Microartelyzer : a software for microartifacts' quantification / Alexandros Leontitsis and Dimitris Kontogiorgos -- From tells to extended settlements : on-site geoarchaeology and cultural formation processes at the extended Neolithic settlement at Korinos (Northern Greece) / Manthos Besios and Fotini Adaktylou, Dimitris Kontogiorgos -- From Neolithic to Hellenistic : a geoarchaeological approach to the burial of a Hellenistic theatre : the evidence from particle size analysis and microartifacts / Dimitris Kontogiorgos, Preka-Alexandri Kaliopi -- A comment on the vertical movement of microartifacts in an anthropogenic and in a non-anthropogenic environment and the effects of formation processes / Dimitris Kontogiorgos -- Concluding remarks / Dimitris Kontogiorgos....”
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Efficient Learning Machines Theories, Concepts, and Applications for Engineers and System Designers / nork Awad, Mariette, Khanna, Rahul

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Advanced wireless communications & Internet future evolving technologies / nork Glisic, Savo G.

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Multicriteria decision aid and artificial intelligence links, theory and applications / nork Doumpos, Michael

Aurkibidea: “...s Method 7.5 Discussion 7.6 Conclusion References Part Four Multiobjective Optimization 8 Interactive Approaches Applied to Multiobjective Evolutionary Algorithms 8.1 Introduction 8.1.1 Methods Analyzed in this Chapter 8.2 Basic Concepts and Notation 8.2.1 Multiobjective Optimization Problems 8.2.2 Classical Interactive Methods 8.3 MOEAs Based on Reference Point Methods 8.3.1 A Weighted Distance Metric 8.3.2 Light Beam Search Combined with NSGA-II 8.3.3 Controlling the Accuracy of the Pareto Front Approximation 8.3.4 Light Beam Search Combined with PSO 8.3.5 A Preference Relation Based on a Weighted Distance Metric 8.3.6 The Chebyshev Preference Relation 8.4 MOEAs Based on Value Function Methods 8.4.1 Progressive Approximation of a Value Function 8.4.2 Value Function by Ordinal Regression 8.5 Miscellaneous Methods 8.5.1 Desirability Functions 8.6 Conclusions and Future Work References 9 Generalized DEA and Computational Intelligence in Multiple Criteria Decision Making 9.1 Introduction 9.2 Generalized Data Envelopment Analysis 9.2.1 Basic DEA Models: CCR, BCC and FDH Models 9.2.2 GDEA Model 9.3 Generation of Pareto Optimal Solutions using Generalized DEA and Computational Intelligence 9.3.1 GDEA in Fitness Evaluation 9.3.2 GDEA in Deciding the Parameters of Multi-objective PSO 9.3.3 Expected Improvement for Multi-objective Optimization Using GDEA 9.4 Summary References 10 Fuzzy Multiobjective Optimization 10.1 Introduction 10.2 Solution Concepts for Multiobjective Programming 10.3 Interactive Multiobjective Linear Programming 10.4 Fuzzy Multiobjective Linear Programming 10.5 Interactive Fuzzy Multiobjective Linear Programming 10.6 Interactive Fuzzy Multiobjective Linear Programming with Fuzzy Parameters 10.7 Interactive Fuzzy Stochastic Multiobjective Linear Programming 10.8 Related Works and Applications References Part Five Applications in Management and Engineering 11 MCDA & Agents: Supporting Effective Resource Federation in Virtual Organizations 11.1 Introduction 11.2 The Intuition of Multiple Criteria Decision Aid in Multi-agent Systems 11.3 Resource Federation Applied 11.3.1 Describing the Problem in a Cloud Computing Context 11.3.2 Problem Modeling 11.3.3 Assessing Agents' Value Function for Resource Federation 11.4 An Illustrative Example 11.5 Conclusions References 12 Fuzzy AHP Using Type II Fuzzy Sets: An Application to Warehouse Location Selection 12.1 Introduction 12.2 Multicriteria Selection 12.2.1 The ELECTRE (Élimination Et Choix Traduisant la Realite) Method 12.2.2 PROMETHEE (Preference Ranking Organization Method for Enrichment Evaluations) 12.2.3 TOPSIS (Technique for Order Preference by Similarity to Ideal Situation) 12.2.4 The WSM (Weighted Sum Model) Method 12.2.5 MAUT (Multi-attribute Utility Theory) 12.2.6 AHP (Analytic Hierarchy Process) 12.3 Literature Review on Fuzzy AHP 12.4 Buckley's Type-1 Fuzzy AHP 12.5 Type-2 Fuzzy Sets 12.6 Type-2 Fuzzy AHP 12.7 An Application: Warehouse Location Selection 12.8 Conclusion References 13 Applying Genetic Algorithms to Optimize Energy Efficiency in Buildings 13.1 Introduction 13.2 State-of-the-Art Review 13.3 An Example Case Study 13.3.1 Basic Principles and Problem Definition 13.3.2 Decision Variables 13.3.3 Decision Criteria 13.3.4 Decision Model 13.4 Development and Application of a Genetic Algorithm for the Example Case Study 13.4.1 Development of the Genetic Algorithm 13.4.2 Application of the Genetic Algorithm, Analysis of Results and Discussion 13.5 Conclusions References 14 Nature-Inspired Intelligence for Pareto Optimality Analysis in Portfolio Optimization 14.1 Introduction 14.2 Literature Review 14.3 Methodological Issues 14.4 Pareto Optimal Sets in Portfolio Optimization 14.4.1 Pareto Efficiency 14.4.2 Mathematical Formulation of the Portfolio Optimization Problem 14.5 Computational Results 14.5.1 Experimental Setup 14.5.2 Efficient Frontier 14.6 Conclusion References Index....”
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