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A review of the application of Multi-Objective Evolutionary Fuzzy systems: Current status and further directions

by Michela Fazzolari, Rafael Alcalá, Associate Member, Yusuke Nojima, Hisao Ishibuchi, Senior Member, Francisco Herrera - IEEE Trans. Fuzzy Syst
"... Abstract—Over the past few decades, fuzzy systems have been widely used in several application fields, thanks to their ability to model complex systems. The design of fuzzy systems has been successfully performed by applying evolutionary and, in particular, genetic algorithms, and recently, this app ..."
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, this approach has been extended by using multiobjective evolutionary algorithms, which can consider multiple conflicting objectives, instead of a single one. The hybridization between multiobjective evolutionary algorithms and fuzzy systems is currently known as multiobjective evolutionary fuzzy systems

DESIGN OF TIME-MODULATED LINEAR ARRAYS WITH A MULTI-OBJECTIVE OPTIMIZATION AP- PROACH

by S. Pal, S. Das, A. Basak
"... Abstract—This article proposes a Multi-objective Optimization (MO) framework for the design of time-modulated linear antenna arrays with ultra low maximum Side Lobe Level (SLL), maximum Side Band Level (SBL) and main lobe Beam Width between the First Nulls (BWFN). In contrast to the existing optimiz ..."
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Abstract—This article proposes a Multi-objective Optimization (MO) framework for the design of time-modulated linear antenna arrays with ultra low maximum Side Lobe Level (SLL), maximum Side Band Level (SBL) and main lobe Beam Width between the First Nulls (BWFN). In contrast to the existing

Evolvable Fuzzy Controllers using Parallel Evolutionary Algorithms

by Pavel Ošmera
"... We are trying to piece together the knowledge of evolution with the help of biology, informatics and physics to create complex evolutionary algorithms with parallel and hierarchical structure. It can speed up the creation of optimization algorithms with high quality features. The adaptive significan ..."
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significance of genetic algorithms (GAs) with diploid chromosomes and an artificial immune system has been studied. An artificial immune system was designed to support the parallel evolutionary algorithms. We implemented hybrid and parallel genetic algorithms for design of evolvable controllers. A flexible

ANY-TIME FUZZY CONTROLLER

by Edward Shmukler, Dr. Gal, A. Kaminka , 2006
"... Fuzzy logic has been successfully applied in various fields. However, as fuzzy controllers increase in size and complexity, the number of control rules increases exponentially and real-time behavior becomes more difficult. This thesis introduces an any-time fuzzy controller. Much work has been done ..."
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of fuzzy control. Popular aggregation and defuzzification methods (max-min, sum-product, MOM and COG) are first shown to satisfy these constraints, and then three linearization methods are presented. Linearization methods are used to reorder fuzzy rules base such that a reordered rule base would result

Antimicrobial Peptides Design by Evolutionary Multiobjective Optimization

by Mariagrazia Di Luca, Francesco Cardarelli, Giovanni Signore, Claudia Boccardi, Angelo Bifone , 2013
"... Antimicrobial peptides (AMPs) are an abundant and wide class of molecules produced by many tissues and cell types in a variety of mammals, plant and animal species. Linear alpha-helical antimicrobial peptides are among the most widespread membrane-disruptive AMPs in nature, representing a particular ..."
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in order to contrast host resistance and increase compound’s life. In this work, the possibility to design novel AMP sequences with non-natural amino acids was achieved through a flexible computational approach, based on chemophysical profiles of peptide sequences. Quantitative structure

An Adaptive Evolutionary Algorithm for Production Planning

by J. C. Vidal, M. Mucientes, M. Lama - in Wood Furniture Industry,” in International Symposium on Evolving Fuzzy Systems, 2006. IEEE
"... Abstract — This paper describes an Adaptive Evolutionary approach to the problem of the production planning task in the wood furniture industry. The objective is to schedule new incoming orders and to regenerate the scheduling for already existing orders when necessary. Complexity and uncertainty of ..."
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of this task promotes the use of an hybrid solution that combines Evolutionary Algorithms (EAs) and Fuzzy Sets. On one hand, EAs allow an efficient and flexible use of large number of parameters involved in the scheduling task and to reduce its computation time. On the other hand, Fuzzy Sets improve

18 th International Conference on Production Research A NOVEL APPROACH FOR THE SOLUTION OF THE MULTIOBJECTIVE CELL- FORMATION PROBLEM

by C. Dimopoulos
"... This paper presents a hybrid heuristic methodology for the solution of the multi-objective cell-formation problem. Traditional optimization methodologies employ aggregating schemes in order to transform the problem into a single-objective case. In this way the designer is not presented with a set of ..."
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This paper presents a hybrid heuristic methodology for the solution of the multi-objective cell-formation problem. Traditional optimization methodologies employ aggregating schemes in order to transform the problem into a single-objective case. In this way the designer is not presented with a set

Hybrid Behavior Co-evolution and Structure Learning

by unknown authors
"... Abstract — Designing an intelligent situated agent is a difficult task as the designer must see the problem from the agent’s standpoint considering all its sensors and actuators. We have devised a co-evolutionary/reinforcement learning hybrid method to automate the design of hierarchical behavior-ba ..."
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Abstract — Designing an intelligent situated agent is a difficult task as the designer must see the problem from the agent’s standpoint considering all its sensors and actuators. We have devised a co-evolutionary/reinforcement learning hybrid method to automate the design of hierarchical behavior

Using BubbleStorm Accepted Master-Thesis from Marcel Lucas

by Assessor Prof Alej, Ro P. Buchmann, Ph. D
"... Hiermit versichere ich, die vorliegende Master-Thesis ohne Hilfe Dritter nur mit den angegebenen Quellen und Hilfsmitteln angefertigt zu haben. Alle Stellen, die aus Quellen entnommen wurden, sind als solche kenntlich gemacht. Diese Arbeit hat in gleicher oder ähnlicher Form noch keiner Prüfungsbehö ..."
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Prüfungsbehörde vorgelegen. Darmstadt, den 17. Mai 2011 (Marcel Lucas) The popularity of Networked Virtual Environments (NVE) increased remarkably in recent years where a plethora of players participate concurrently. Traditional approaches applying the Client/Server pattern swiftly reach their limit in terms

1A WEIGHTED-TREE SIMILARITY ALGORITHM FOR MULTI-AGENT SYSTEMS IN E-BUSINESS ENVIRONMENTS*

by Virendrakumar C. Bhavsar, Harold Boley, Lu Yang
"... A tree similarity algorithm for match-making of agents in e-Business environments is presented. Product/service descriptions of seller and buyer agents are represented as node-labelled, arc-labelled, arc-weighted trees. A similarity algorithm for such trees is developed as the basis for semantic mat ..."
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match-making in a virtual marketplace. The trees are exchanged using an XML serialization in Object-Oriented RuleML. Correspondingly, we use the declarative language Relfun to implement the similarity algorithm as a parameterised, recursive functional program. Three main recursive functions perform a
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