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Showing 41-52 of 52 results
  1. Probability Collectives Multi-Agent Systems: A Study of Robustness in Search

    We present a robustness study of the search of Probability Collectives Multi-agent Systems (PCMAS) for optimization problems. This framework for...
    Conference paper 2010
  2. Improved Quantum Evolutionary Algorithm Combined with Chaos and Its Application

    Quantum evolutionary algorithm (QEA) has been developed rapidly and has been applied widely during the past decade. In this paper, an improved...
    Conference paper 2009
  3. Double Layer ACO Algorithm for the Multi-Objective FJSSP

    Scheduling for the flexible job shop is very important in both fields of production management and combinatorial optimization. In this work, a double...

    Li-Ning **ng, Ying-Wu Chen, Ke-Wei Yang in New Generation Computing
    Article 01 August 2008
  4. CGA: Chaotic Genetic Algorithm for Fuzzy Job Scheduling in Grid Environment

    We introduce a Chaotic Genetic Algorithm (CGA) to schedule Grid jobs with uncertainties. We adopt a Fuzzy Set based Execution Time (FSET) model to...
    Conference paper 2007
  5. Image Segmentation Based on Chaos Immune Clone Selection Algorithm

    Image segmentation is a fundamental step in image processing. Otsu’s threshold method is a widely used method for image segmentation. In this paper,...
    Conference paper 2007
  6. Clustering Protein Interaction Data Through Chaotic Genetic Algorithm

    In this paper, we proposed a Chaotic Genetic Algorithm (CGA) to cluster protein interaction data to find protein complexes. Compared with other...
    Hongbiao Liu, Juan Liu in Simulated Evolution and Learning
    Conference paper 2006
  7. A Hybrid Genetic Algorithm/Particle Swarm Approach for Evaluation of Power Flow in Electric Network

    This paper presents an investigation of possible hybrid genetic algorithm / particle swarm optimization approaches to evaluate the flow of electric...
    T. O. Ting, K. P. Wong, C. Y. Chung in Advances in Machine Learning and Cybernetics
    Conference paper 2006
  8. Melt Index Predict by Radial Basis Function Network Based on Principal Component Analysis

    Melt index is considered important quality variable determining product specifications. Reliable prediction of melt index (MI) is crucial in quality...
    Conference paper 2006
  9. A Mixed Mutation Strategy Evolutionary Programming Combined with Species Conservation Technique

    Mutation operators play an important role in evolutionary programming. Several different mutation operators have been developed in the past decades....
    Hongbin Dong, Jun He, ... Wei Hou in MICAI 2005: Advances in Artificial Intelligence
    Conference paper 2005
  10. Constituent Methodologies of Soft Computing

    Let X be a classical set of objects, called the universe, whose generic elements are denoted x. Membership in a classical subset A of X is often...
    Rafik Aziz Aliev, Bijan Fazlollahi, Rashad Rafik Aliev in Soft Computing and its Applications in Business and Economics
    Chapter 2004
  11. ALEC: An Adaptive Learning Framework for Optimizing Artificial Neural Networks

    In this paper we present ALEC (Adaptive Learning by Evolutionary Computation), an automatic computational framework for optimizing neural networks...
    Ajith Abraham, Baikunth Nath in Computational Science - ICCS 2001
    Conference paper 2001
  12. The simulation of localised interaction and learning in artificial adaptive agents

    This study examines the effect of imposing a spatial dynamic on a population of artificial adaptive agents playing the repeated prisoner's dilemma....
    Robert Hoffmann, Nigel Waring in Evolutionary Computing
    Conference paper 1996
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