Modified ant colony optimization with pheromone mutation for travelling salesman problem

C Ratanavilisagul - 2017 14th International Conference on …, 2017 - ieeexplore.ieee.org
Ant Colony Optimization (ACO) algorithm is a stochastic algorithm that is used for solving
combinational optimization problem. It is inspired by the foraging behavior of ant colony. The …

A modified ant colony optimization algorithm with pheromone mutations for dynamic travelling salesman problem

L Goel, G Vaishnav, SC Ramola… - IETE Technical …, 2023 - Taylor & Francis
Ant Colony Optimization (ACO) is an algorithm based on Meta-heuristics and swarm
intelligence, taking inspiration from the exploring behavior of social insects like ants. Some …

Modified Feature Extraction to apply PSO for solving Handwritten Digits

J Samleepant, C Ratanavilisagul - 2023 20th International Joint …, 2023 - ieeexplore.ieee.org
Handwritten Digit Recognition (HDR) is a widely used technology that has been
demonstrated in various research topics. However, there are many limitations because …

A novel modified particle swarm optimization algorithm with mutation for data clustering problem

C Ratanavilisagul - 2020 5th International Conference on …, 2020 - ieeexplore.ieee.org
Particle Swarm Optimization (PSO) and K-Means (KM) are widely used for solving data
clustering. KM encounters the problem of initializing the cluster centers and the problem of …

Genetic mechanism-enhanced standard particle swarm optimization 2011

W Du, F Zhang - Soft Computing, 2018 - Springer
Standard particle swarm optimization 2011 (SPSO2011) is a major improvement of the
original particle swarm optimization (PSO) with its adaptive random topology and rotational …

[PDF][PDF] Ameliorated Ant Algorithm (AAA) for load balanced Task Scheduling in Manufacturing Grid

A Bhowmick, AK Nandi, G Sutradhar - kalaharijournals.com
In a Grid-based environment like Manufacturing Grid, one of the most critical issues is how to
divide the workload equally. Heuristic techniques are necessary since locating the optimal …