Informatics Publishing Limited

Neha Goyal ¹, Pradeep Mittal ²

Affiliations
1 Kurukshetra University, Kurukshtra, IN
2 Department of Computer Science, Kurukshetra University, Kurukshetra, IN

Abstract

As a typical combinatorial problem, the travelling salesman problem (TSP) has attracted extensively research interest. Ant Colony optimization (ACO), Genetic Algorithm (GA), Particle swarm optimization (PSO) stochastic search methods that mimic the natural evolution and/or the social behavior of species, have great potentials to solve the combination optimization problems, respectively used in solving traveling salesman problem. Performance comparative analyses have been done by using ACO, GA and PSO respectively in solving TSP in this paper. The experiments show the advantages and disadvantages used only ACO, GA and PSO. The comparative results are shown. And it is devised that GA is better approach to solve the traveling salesman problem.

Keywords

Ant Colony, Optimization, Particle Swarm, Genetic Algorithm, Travelling Salesman.

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Neha Goyal ¹, Rachna Agrawal ¹, Renu Aggarwal ¹

Affiliations
1 YMCA UST, Faridabad, IN

Abstract

Priority Sector Lending (PSL) is an attempt by Reserve Bank of India to channelize financial assistance to neglected sector of economy. Priority Sector lending includes agriculture, Small scale industries, weaker sections, education and housing etc. RBI has done various changes in PSL guidelines time to time. There are various researches which study the affect of PSL on economy, banks and beneficiaries. It is also found in different studies that there are various quality issues in PSL. In this study researcher try to find out the factors related to banks and beneficiaries of PSL which affect the quality of PSL.

Keywords

Priority Sector Lending, Agriculture, Non Performing Assets (NPA), Reserve Bank of India (RBI), Private Banks, Public Banks.

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Neelam Rathee ¹, Neha Goyal ²

Affiliations
1 Post Graduate Government College for Girls, Sector-11, Chandigarh, IN
2 Department Psychology Honors, Post Graduate Government College for Girls, Sector-11, Chandigarh, IN

Abstract

Music is a common phenomenon that crosses all bodies of nationality, race and culture. Music affects us in ways that are personal and require psychological explanation. It is a divine and a spiritual phenomenon that expresses emotions, uplifts and inspires, touch the heart and heal and soothe the soul. The choice of a particular song can be subjective and situational, but the general and overall preference for a particular kind of music involves more psychological attributes. Music has a remarkable ability to conjure up emotions in individuals. Listeners are predisposed to their taste in music; and they have broadly convergent emotional interpretations of music. Keeping this background in view for the purpose of this study, differences in the musical preferences and the accompanying emotional states and the orientation towards life was studied on a sample of 100 female college students from the age group of 17-22 years. The findings observed differences in emotional states and the orientation towards life of the subjects showing preferences for upbeat or reflective music respectively.

Keywords

Music, Musical Preference, Positive Emotions, Negative Emotions, Life Orientation.

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Neha Goyal ¹, Kapil ¹

Affiliations
1 National institute of technology, kurukshetra, IN

Abstract

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