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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... -
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... -
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...
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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... -
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,... -
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... -
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... -
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... -
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.... -
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... -
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... -
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....