# IEEE Transactions on Evolutionary Computation

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Displaying Results 1 - 14 of 14

Publication Year: 2008, Page(s): C1
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• ### IEEE Transactions on Evolutionary Computation publication information

Publication Year: 2008, Page(s): C2
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• ### Multiobjective Particle Swarm Algorithm With Fuzzy Clustering for Electrical Power Dispatch

Publication Year: 2008, Page(s):529 - 541
Cited by:  Papers (136)
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Economic dispatch is a highly constrained optimization problem encompassing interaction among decision variables. Environmental concerns that arise due to the operation of fossil fuel fired electric generators, transforms the classical problem into multiobjective environmental/economic dispatch (EED). In this paper, a fuzzy clustering-based particle swarm (FCPSO) algorithm has been proposed to sol... View full abstract»

• ### Population-Based Incremental Learning With Associative Memory for Dynamic Environments

Publication Year: 2008, Page(s):542 - 561
Cited by:  Papers (128)
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In recent years, interest in studying evolutionary algorithms (EAs) for dynamic optimization problems (DOPs) has grown due to its importance in real-world applications. Several approaches, such as the memory and multiple population schemes, have been developed for EAs to address dynamic problems. This paper investigates the application of the memory scheme for population-based incremental learning... View full abstract»

• ### Fast and Robust Face Detection Using Evolutionary Pruning

Publication Year: 2008, Page(s):562 - 571
Cited by:  Papers (22)
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Face detection task can be considered as a classifier training problem. Finding the parameters of the classifier model by using training data is a complex process. To solve such a complex problem, evolutionary algorithms can be employed in cascade structure of classifiers. This paper proposes evolutionary pruning to reduce the number of weak classifiers in AdaBoost-based cascade detector, while ma... View full abstract»

• ### A Multiobjective Evolutionary-Simplex Hybrid Approach for the Optimization of Differential Equation Models of Gene Networks

Publication Year: 2008, Page(s):572 - 590
Cited by:  Papers (29)
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This paper describes genetic and hybrid approaches for multiobjective optimization using a numerical measure called fuzzy dominance. Fuzzy dominance is used when implementing tournament selection within the genetic algorithm (GA). In the hybrid version, it is also used to carry out a Nelder-Mead simplex-based local search. The proposed GA is shown to perform better than NSGA-II and SPEA-2 on stand... View full abstract»

• ### A Drug Candidate Design Environment Using Evolutionary Computation

Publication Year: 2008, Page(s):591 - 603
Cited by:  Papers (7)
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This paper describes the candidate design environment we developed for efficient identification of promising drug candidates. Developing effective drugs from active molecules is a challenging problem which requires the simultaneous satisfaction of many factors. Traditionally, the drug discovery process is conducted by medicinal chemists whose vital expertise is not readily quantifiable. Recently, ... View full abstract»

• ### Normalization for Genetic Algorithms With Nonsynonymously Redundant Encodings

Publication Year: 2008, Page(s):604 - 616
Cited by:  Papers (10)
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Normalization transforms one parent genotype to be consistent with the other before crossover. In this paper, we explain how normalization alleviates the difficulties caused by nonsynonymously redundant encodings in genetic algorithms. We define the encodings with maximally nonsynonymous property and prove that the encodings induce uncorrelated search spaces. Extensive experiments for a number of ... View full abstract»

• ### Darwinian, Lamarckian, and Baldwinian (Co)Evolutionary Approaches for Feature Weighting in $K$-means-Based Algorithms

Publication Year: 2008, Page(s):617 - 629
Cited by:  Papers (3)
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Feature weighting is an aspect of increasing importance in clustering because data are becoming more and more complex. In this paper, we propose new feature weighting methods based on genetic algorithms. These methods use the cost function defined in LKM as a fitness function. We present new methods based on Darwinian, Lamarckian, and Baldwinian evolution. For each one of them, we describe evoluti... View full abstract»

• ### Moving Block Sequence and Organizational Evolutionary Algorithm for General Floorplanning With Arbitrarily Shaped Rectilinear Blocks

Publication Year: 2008, Page(s):630 - 646
Cited by:  Papers (20)
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A new nonslicing floorplan representation, the moving block sequence (MBS), is proposed in this paper. Our idea of the MBS originates from the observation that placing blocks on a chip has some similarities to playing the game, Tetrisreg. Since no extra constraints are exerted on solution spaces, the MBS is not only useful for evolutionary algorithms, but also for dealing with rectangul... View full abstract»

• ### Fingerprinting: Visualization and Automatic Analysis of Prisoner's Dilemma Strategies

Publication Year: 2008, Page(s):647 - 659
Cited by:  Papers (46)
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Fingerprinting is a technique for generating a representation-independent functional signature for a game playing agent. Fingerprints can be used to compare agents across representations in an automatic fashion. The theory of fingerprints is developed for software agents that play the iterated prisoner's dilemma. Examples of the technique for computing fingerprints are given. This paper summarizes... View full abstract»

• ### IEEE Congress on Evolutionary Computation

Publication Year: 2008, Page(s): 660
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• ### IEEE Computational Intelligence Society Information

Publication Year: 2008, Page(s): C3
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• ### IEEE Transactions on Evolutionary Computation Information for authors

Publication Year: 2008, Page(s): C4
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## Aims & Scope

IEEE Transactions on Evolutionary Computation publishes archival quality original papers in evolutionary computation and related areas including nature-inspired algorithms, population-based methods, and optimization where selection and variation are integral, and hybrid systems where these paradigms are combined. Purely theoretical papers are considered as are application papers that provide general insights into these areas of computation.

Full Aims & Scope

## Meet Our Editors

Editor-in-Chief
Professor Kay Chen Tan (IEEE Fellow)
Department of Computer Science
City University of Hong Kong
Kowloon Tong, Kowloon, Hong Kong
Email: kaytan@cityu.edu.hk