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Your search keyword '"Vaidya, Nalini V."' showing total 4 results
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4 results on '"Vaidya, Nalini V."'

1. A review on different algorithms to find feasible solution for multiple travelling salesman problem.

Author

Deshpande, Archana A., Raut, Seema, and Vaidya, Nalini V.

Subjects
TRAVELING salesman problem, COMPUTER science, GENETIC algorithms, SALES personnel, ALGORITHMS, ANT algorithms
Abstract

The travelling salesperson problem (TSP) is the most studied problem in optimization and computer science. A more challenging version of the Travelling Salesperson Problem (TSP) is the Multiple Travelling Salesperson Problem (MTSP). The goal is to find the shortest path, which is the shortest distance for each salesperson to travel from the depot to each city and return to depot. It is a NP hard problem and has various applications in routing and scheduling. There are various algorithms to solve MTSP such as exact solution method, bioinspired algorithms like genetic ant colony, evolutionary. In this paper we review exact algorithm and bioinspired algorithm. [ABSTRACT FROM AUTHOR]

Published
2024
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2. Solving the Multi-objective Travelling Salesman Problem by an Amalgam of Fruit Fly Optimization and Ant Colony Optimization.

Author

Deshpande, Archana A., Raut, Seema, and Vaidya, Nalini V.

Subjects
OPTIMIZATION algorithms, TRAVELING salesman problem, ANT algorithms, PHEROMONES
Abstract

In this article, the multi-objective Travelling Salesman Problem (TSP), which includes the optimization of two competing and incompatible goals, is taken into account. There is not a single ideal strategy that enhances all the objective functions at once. Usually, one of the goals is considered a constraint or both goals are combined into one objective function. This work provides an extremely efficient Ant Colony Optimization (ACO)-based multi-objective Fruit Fly Optimization Algorithm (FFOA). Using FFOA, which was normalized and initialized to the pheromone quantity for ACO, the present study first establishes a local solution. To evaluate the optimization results a combined method of FFOA and ACO is carried out. [ABSTRACT FROM AUTHOR]

Published
2024
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3. Emerging Trends in Engineering Research and Technology Vol. 7

Author

Babu, U. Vimal, additional, Ramakrishana, M., additional, Nagamani, M., additional, Kumar, Rajendra, additional, Pandipati, Babu, additional, Sam, R. Praveen, additional, Priyadarshini, S. Hema, additional, Dutt, D. Narayana, additional, Rajan, Anand Prem, additional, Uparkar, Satyajit S., additional, Vaidya, Nalini V., additional, Lokhande, Kalpana G., additional, Golar, Priti C., additional, Ragini, Ch. Suvarna, additional, Ibrahim, Marzuki, additional, Omar, M. Hisham, additional, Abdullah, Imran, additional, Ahmad, M. Sophist, additional, Yusoff, S. A. Tajuddin Sh., additional, Daula, S. M. Shamsheer, additional, Khan, G. Amjad, additional, Ramesh, Sri G., additional, Reddy, Sri M. Madhusudhan, additional, Papadopoulos, P. G., additional, Xenidis, H., additional, Lazaridis, P., additional, Diamantopoulos, A., additional, Lambrou, P., additional, Arethas, Y., additional, Sonar, S. G., additional, Nalawade, R. V., additional, Kavitha, K., additional, Mangalam, H., additional, Pari, J. Britto, additional, Rani, S. P. Joy Vasantha, additional, Babu, N. Sharath, additional, Raju, G. Sreenivasa, additional, Sajja, Amrita, additional, Maheswari, G., additional, and Chitra, K., additional

Published
2020
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