TITLE

LAMARCKIAN LEARNING IN CLONAL SELECTION ALGORITHM FOR NUMERICAL OPTIMIZATION

AUTHOR(S)
GONG, MAOGUO; JIAO, LICHENG; YANG, JIE; LIU, FANG
PUB. DATE
February 2010
SOURCE
International Journal on Artificial Intelligence Tools;Feb2010, Vol. 19 Issue 1, p19
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
In this paper, we introduce Lamarckian learning theory into the Clonal Selection Algorithm and propose a sort of Lamarckian Clonal Selection Algorithm, termed as LCSA. The major aim is to utilize effectively the information of each individual to reinforce the exploitation with the help of Lamarckian local search. Recombination operator and tournament selection operator are incorporated into LCSA to further enhance the ability of global exploration. We compare LCSA with the Clonal Selection Algorithm in solving twenty benchmark problems to evaluate the performance of LCSA. The results demonstrate that the Lamarckian local search makes LCSA more effective and efficient in solving numerical optimization problems.
ACCESSION #
48329815

 

Related Articles

  • On set consensus numbers. Gafni, Eli; Kuznetsov, Petr // Distributed Computing;Nov2011, Vol. 24 Issue 3/4, p149 

    It is conjectured that the only way a failure detector (FD) can help solving n-process tasks is by providing k-set consensus for some $${k\in\{1,\ldots,n\}}$$ among all the processes. It was recently shown by Zieliński that any FD that allows for solving a given n-process task that is...

  • FROM THE ALGORITHMIC THINKING TO THE CONCEPT OF PROJECT. VLADA, Marin // eLearning & Software for Education;2011, p1 

    This article presents several important topics that show the importance of algorithms and solving problems in the development of scientific knowledge. In the problem-solving processes require demonstrative thinking, an algorithms thinking. This paper presents a modern approach to the concept of...

  • The disagreement power of an adversary. Delporte-Gallet, Carole; Fauconnier, Hugues; Guerraoui, Rachid; Tielmann, Andreas // Distributed Computing;Nov2011, Vol. 24 Issue 3/4, p137 

    At the heart of distributed computing lies the fundamental result that the level of agreement that can be obtained in an asynchronous shared memory model where t processes can crash is exactly t + 1. In other words, an adversary that can crash any subset of size at most t can prevent the...

  • Computer modeling of multidimensional problems of gravitational gas dynamics on multiprocessor computers. Rybakin, Boris; Shider, Natalia // Computer Science Journal of Moldova;2009, Vol. 17 Issue 1, p3 

    This article deals with a method, based on total variation diminishing (TVD) scheme, for solving three-dimensional equations of gravitational gas dynamics. For this method a parallel algorithm of the decision is offered. Equations of this kind are a powerful approach to simulating astrophysical...

  • Context of Problem-Solving Systems. Symes, Lawrence R.; Oldehoeft, R.R. // IEEE Transactions on Software Engineering;Jul77, Vol. 3 Issue 4, p306 

    Considerable effort has been expanded in attempts to combine the power found in algorithmic languages with the power found in program libraries. However, most of these attempts to construct problem-solving systems for a particular class of users have failed to achieve their objective of...

  • On Codd Families of Keys over Incomplete Relations. Hartmann, Sven; Leck, Uwe; Link, Sebastian // Computer Journal;Jul2011, Vol. 54 Issue 7, p1166 

    Keys allow a database management system to uniquely identify tuples in a database. Consequently, the class of keys is of great significance for almost all data processing tasks. In the relational model of data, keys have received considerable interest and are well understood. However, for...

  • Creating ontology chart of economic objects: The application of Menger's ideas. Martiri, Edlira; Barolli, Ezmolda // Applied Technologies & Innovations;2011, Vol. 5 Issue 2, p45 

    Processing data is one of the main concerns of almost every field of study which deals with information. But today with the growing data and information a new delicate problem arises: "processing" knowledge. One way to start solving it is by categorizing knowledge; then trying to manage these...

  • GRASP and Path Relinking for the Clustered Prize-collecting Arc Routing Problem. Aráoz, Julián; Fernández, Elena; Franquesa, Carles // Journal of Heuristics;Apr2013, Vol. 19 Issue 2, p343 

    The Clustered Prize-collecting Arc Routing Problem is an arc routing problem where each demand edge is associated with a profit which is collected once if the edge is serviced, independently of the number of times it is traversed. It is further required that if a demand edge is serviced, then...

  • A new approach for maximizing bichromatic reverse nearest neighbor search. Liu, Yubao; Wong, Raymond; Wang, Ke; Li, Zhijie; Chen, Cheng; Chen, Zhitong // Knowledge & Information Systems;Jul2013, Vol. 36 Issue 1, p23 

    Maximizing bichromatic reverse nearest neighbor (MaxBRNN) is a variant of bichromatic reverse nearest neighbor (BRNN). The purpose of the MaxBRNN problem is to find an optimal region that maximizes the size of BRNNs. This problem has lots of real applications such as location planning and...

Share

Read the Article

Courtesy of THE LIBRARY OF VIRGINIA

Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics