https://isiarticles.com/bundles/Article/pre/pdf/7984.pdf

A new meta-heuristic algorithm for continuous engineering optimization: harmony search theory and practice

http://romisatriawahono.net/lecture/rm/survey/softcomputing/Boussaid%20-%20Optimization%20Metaheuristics%20-%202013.pdf

A survey on optimization metaheuristics

Summarizes the research on population-based probabilistic search algorithms based on modeling promising solutions by estimating their probability distribution and using the constructed model to guide the exploration of the search space. It settles the algorithms in the field of genetic and evolutionary computation where they have been originated. All methods are classified into a few classes according to the complexity of the class of models they use. Algorithms from each of these classes are briefly described and their strengths and weaknesses are discussed.

https://www.fernandolobo.info/p/pmbga-survey.pdf

A survey of optimization by building and using probabilistic models

Estimation of distribution algorithms (EDAs) are stochastic optimization techniques that explore the space of potential solutions by building and sampling explicit probabilistic models of promising candidate solutions. This explicit use of probabilistic models in optimization offers some significant advantages over other types of metaheuristics. This paper discusses these advantages and outlines many of the different types of EDAs. In addition, some of the most powerful efficiency enhancement techniques applied to EDAs are discussed and some of the key theoretical results relevant to EDAs are outlined.

An introduction and survey of estimation of distribution algorithms

https://sci2s.ugr.es/sites/default/files/ficherosPublicaciones/1404_Cordon-Review-Mamdani-GFSs-IJAR-52-6-2011-pp894-913.pdf

A historical review of evolutionary learning methods for Mamdani-type fuzzy rule-based systems: Designing interpretable genetic fuzzy systems

1: Keynote Papers.- The NIST Design Repository Project.- Evolving Connectionist and Fuzzy-Connectionist Systems for On-line Adaptive Decision Making and Control.- Recent New Development in Evolutionary Programming.- Emotional Image Retrieval with Interactive Evolutionary Computation.- 2: Design Support Systems.- Using Genetic Algorithms to Encourage Engineering Design Creativity.- Abduction Problem in Probabilistic Constraint Logic Programming.- Aspects of Evolutionary Design by Computers.- Surface Optimisation within the CAD/CAM Environment using Genetic Algorithms.- 3: Intelligent Control.- Adaptive Sugeno Fuzzy Control: A Case Study.- An Experimental and Comparative Study of Fuzzy PID Control Structures.- An Accurate COG Defuzzifier Design Using the Coadaptation of Learning and Evolution.- A Multiagent Intelligent Control System for Glass Industry.- Predictive Control Using Fuzzy Models.- Evolutionary Design of a Helicopter Autopilot.- Decomposition of a Fuzzy Controller Based on Inference Break-up Method.- 4: Identification and Modelling.- Experimental Evaluation of Intelligent Identification Algorithms Applied to a Wind Tunnel Process.- Improvement of Membership Function Identification Method in Usability and Precision.- General Parameter Radial Basis Function Neural Network Based Adaptive Fuzzy Systems.- Uneven Division of Input Spaces for Hierarchical Fuzzy Modeling.- Ensembles of Evolutionary created Artificial Neural Networks and Nearest Neighbour Classifiers.- 5: Data Mining.- Application of Multi-dimensional Fuzzy Analysis to Decision Making.- Information-Theoretic Fuzzy Approach to Knowledge Discovery in Databases.- Intelligent Electronic Catalogs for Sales Support - Introducing Case-Based Reasoning Techniques to on-line Product Selection Applications.- A Genetic Algorithm for Generalized Rule Induction.- 6: Optimisation.- Multiobjective Optimization by Nessy Algorithm.- The Scout Algorithm applied to the Maximum Clique Problem.- Unconstrained Optimization Using Genetic Box Search.- Improvement of Simple Genetic Algorithm for Solving the Uncapacitated Warehouse Location Problem.- Optimizing Neural Networks for Time Series Prediction.- 7: Optimisation for Industrial Applications.- Maximum Entropy Image Restoration by Evolutionary Algorithm.- The Finite Element Method and Soft Computing.- A Tabu Search Approach for the Tool Assignment and Machine Loading Problem in Flexible Manufacturing Systems.- Investigating Evolutionary Optimisation of Constrained Functions to Capture Shape Descriptions from Range Data.- Optimal Selection of Pressure Vessels.- 8: New Topics in EA Basics.- Simulation of Baldwin Effect and Dawkins Memes by Genetic Algorithm.- Approach to Structure Synthesis by Genetic Algorithms.- A Study of Altruism by Genetic Algorithm.- The Bivariate Marginal Distribution Algorithm.- 9: New Frontier for Soft Computing.- Granular Computing using Neighborhood Systems.- Toward Fuzziness in Natural Language Processing.- A New Approach to Acquisition of Comprehensible Fuzzy Rules.- Zero-Point Probability for Linear Source Separation.- Code Optimization for DNA Computing of Maximal Cliques.- 10: Summary of Tutorials.- On Line Tutorials on Evolutionary Computing.- Fuzzy Control Tutorial.- 11: Summary of Discussion.- 11: Summary of Discussion.- Keyword Index.- List of Reviewers.

Advances in Soft Computing: Engineering Design and Manufacturing

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Advances in Soft Computing: Engineering Design and Manufacturing