Load Allocation in Academic Environment: A Multi Objective PSO Approach

In an Organization, mapping the competency of personnel with different level of expertise, skill set, and experience in professional fields is a tough, complex but essential task. In this work, we have considered an Engineering College with moderate number of faculties with different level of experi...

Full description

Saved in:
Bibliographic Details
Published inGSTF International journal on computing Vol. 3; no. 4; p. 9
Main Authors Rout, Sushri Samita, Misra, Bijan Bihari, Samanta, Sasmita
Format Journal Article
LanguageEnglish
Published Singapore Global Science and Technology Forum 31.05.2014
Subjects
Allocations
Computer Science
Education
Guidelines
Mapping
Swarm intelligence
Tasks
Teaching
Competency mapping
Multi Objective Optimization
Particle Swarm Optimization
Online AccessGet full text

Cover

More Information
Summary:In an Organization, mapping the competency of personnel with different level of expertise, skill set, and experience in professional fields is a tough, complex but essential task. In this work, we have considered an Engineering College with moderate number of faculties with different level of experience, expertise and research exposure. Here we have considered the load assignment to the faculties at the beginning of a semester as the competency mapping task. Each faculty having capabilities of teaching different subjects out of the total set of papers needs to take about two theory papers with or without laboratory component. The decisive factors for subject assignment may be depth of knowledge, sincerity, class management, contribution towards research, text book publication. Further preference of the faculty member should be considered with top priority unless there are some valid constraints. Again the teaching personnel in a department hold different designations and different administrative responsibility, therefore each of them cannot be assigned equal hours of teaching load. The All India Council for Technical Education (AICTE) guidelines is considered as a baseline for assignment of teaching load. The decisive factors are considered as objectives to be optimized and multi-objective particle Swarm optimization (MOPSO) is employed to perform the competency mapping task. The simulation results show the effectiveness of this approach.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ObjectType-Article-2
ObjectType-Feature-1
content type line 23
ISSN:2010-2283
2010-2283
2251-3043
DOI:10.7603/s40601-013-0036-7