Study of Mathematical Model and Ant Colony Optimization (ACO)

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Dr. Pawandeep Chahal
Dr. Pawandeep Chahal
1 Desh Bhagat Institute of Engg. & Management Moga, Punjab, India

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GJRE Volume 12 Issue J4

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The objective of our study was to evaluate, in a population of Togolese People Living With HIV(PLWHIV), the agreement between three scores derived from the general population namely the Framingham score, the Systematic Coronary Risk Evaluation (SCORE), the evaluation of the cardiovascular risk (CVR) according to the World Health Organization.
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In this paper we define those mathematical notions and terms that are useful about ACO and the relationships between ACO and other frameworks for optimization and control. This chapter defines and discusses the characteristics of: (i) the combinatorial optimization problems addressed by ACO, (ii) construction heuristics for combinatorial problems, (iii) the equivalence between solution construction and sequential decision process (iv) the graphical tools (state graph and construction graph) that can be used to represent and reason on the structure and dynamics of construction processes.

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No external funding was declared for this work.

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The authors declare no conflict of interest.

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No ethics committee approval was required for this article type.

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Dr. Pawandeep Chahal. 2013. \u201cStudy of Mathematical Model and Ant Colony Optimization (ACO)\u201d. Global Journal of Research in Engineering - J: General Engineering GJRE-J Volume 12 (GJRE Volume 12 Issue J4): .

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Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

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v1.2

Issue date

January 6, 2013

Language

English

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Study of Mathematical Model and Ant Colony Optimization (ACO)

Dr. Pawandeep Chahal
Dr. Pawandeep Chahal Desh Bhagat Institute of Engg. & Management Moga, Punjab, India

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