IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

International Journal of Applied Evolutionary Computation (IJAEC)

International Journal of Applied Evolutionary Computation (IJAEC)
Editor(s)-in-Chief: Sukhpal Singh Gill (Queen Mary University of London, UK)
Published: Continuous Volume
Copyright: ©2010
DOI: 10.4018/IJAEC
ISSN: 1942-3594
EISSN: 1942-3608

Purchase

View International Journal of Applied Evolutionary Computation (IJAEC) on the publisher's website for pricing and purchasing information.


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.



Contents

Volume 13, Issue 2
Volume 13, Issue 1
Volume 12, Issue 4
Volume 12, Issue 3
Volume 12, Issue 2
Volume 12, Issue 1
Volume 11, Issue 4
Volume 11, Issue 3
Volume 11, Issue 2
Volume 11, Issue 1
Volume 10, Issue 4
Volume 10, Issue 3
Volume 10, Issue 2
Volume 10, Issue 1
Volume 9, Issue 4
Volume 9, Issue 3
Volume 9, Issue 2
Volume 9, Issue 1
Volume 8, Issue 4
Volume 8, Issue 3
Volume 8, Issue 2
Volume 8, Issue 1
Volume 7, Issue 4
Volume 7, Issue 3
Volume 7, Issue 2
Volume 7, Issue 1
Volume 6, Issue 4
Volume 6, Issue 3
Volume 6, Issue 2
Volume 6, Issue 1
Volume 5, Issue 4
Volume 5, Issue 3
Volume 5, Issue 2
Volume 5, Issue 1
Volume 4, Issue 4
Volume 4, Issue 3
Volume 4, Issue 2
Volume 4, Issue 1
Volume 3, Issue 4
Volume 3, Issue 3
Volume 3, Issue 2
Volume 3, Issue 1
Volume 2, Issue 4
Volume 2, Issue 3
Volume 2, Issue 2
Volume 2, Issue 1
Volume 1, Issue 4
Volume 1, Issue 3
Volume 1, Issue 2
Volume 1, Issue 1
More...
Less...

Mission

The International Journal of Applied Evolutionary Computation (IJAEC) presents comprehensive interdisciplinary and refereed research on the most emerging and breakthrough areas of Evolutionary Computation (EC) and applications. The journal expands existing research findings (theoretical innovations and modeling applications) to provide the highest quality original concepts, hybrid applications, innovative methodologies, and development trends studies for all audiences. The primary mission of IJAEC is to publish original/state-of-the-art/highest quality research articles in application and convergence of the areas of evolutionary computation and other similar techniques to address real world complexities. Evolutionary computation theory, practice and applications are the essential topics being covered. The journal succeeds in expanding the fields and depths of the most principal and critical concepts forming a more matured research society. The journal is targeted at both academic researchers and practicing EC professionals.

Journal Indices

Bacon's Media Directory
The Standard Periodical Directory
Ulrich's Periodicals Directory
More...
Less...

Body Bottom