You are previewing International Journal of Applied Evolutionary Computation (IJAEC) Volume 7, Issue 3.
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International Journal of Applied Evolutionary Computation (IJAEC) Volume 7, Issue 3

Book Description

The International Journal of Applied Evolutionary Computation (IJAEC) covers state-of-the-art interdisciplinary research on emerging areas and of intelligent computation (IC). By providing an academic and scientific forum for exchanging high quality results on innovative topics, trends and research in the field of IC, this journal expands the fields and the depths of its most principal and critical concepts. IJAEC extends existing research findings (theoretical innovations and modeling applications) to provide the highest quality original concepts, hybrid applications, innovative methodologies, and the development trends studies for all audiences. IJAEC publishes three categories of papers: research papers, research notes, and research review. Research papers have significant original research findings. The research must be complete and contribute substantially to knowledge in the field. Research notes comprise research that is complete but not as comprehensive as to meet the criteria of a full research paper. Research reviews are novel, insightful, and carefully crafted articles that conceptualize research areas and synthesize prior research. Research review articles must provide new insights that advance our understanding of the research areas and help in identifying and developing future research directions.

This issue contains the following articles:

  • Development of Fractional Genetic PSO Algorithm for Multi Objective Data Clustering
  • Progressive-Stepping-Based Non-Dominated Sorting Genetic Algorithm for Multi-Objective Optimization
  • Multiobjective Group Search Optimization Approach for Community Detection in Networks
  • A Hybrid Kernel Extreme Learning Machine and Improved Cat Swarm Optimization for Microarray Medical Data Classification