Selective Marketing for Retailers to promote Stock using improved Ant Colony Algorithm

Proceedings of the 11th European conference on Evolutionary computation in combinatorial optimization. Modifications and additions to ant colony optimization to solve the

This observed behavior is put into an algorith mic fra me work by considering artific ia l ants that construct solutions for a g iven proble m by carry ing out random

Quantitative estimating size of deep defects in multi-layered structures from eddy current NDT signals using improved ant colony algorithm.. Bo Ye, Ming Li, Gefei Qiu, Jun Dong,

Proposed by Dorigo in 1991, the ant colony algorithm is widely used in medical image segmentation because of its excellent clustering characteristics [12].. On the basis of

The techniques discussed in this paper are Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), Bacterial Foraging Optimization Algorithm (BFOA),

This algorithm can extract the minimal generators and build a structure partially ordered called Frequent minimal generators lattice in order to perform a v ertical

This paper studies the existing algorithms of minimum set cover problem and proposes a heuristic approach to solve the problem using modified hill climbing algorithm.. The

Then, the methodology is applied to the design of two representa- tive engineering systems through multi-objective optimization using the Firefly Colony Algorithm in association