Synthetic Genes for Artificial Ants. Diversity in Ant Colony Optimization Algorithms

Ant Colony Optimization Artificial Ants as a Computational Intelligence Technique

cAS: Ant Colony Optimization with Cunning Ants

In this paper, we propose a variant of an ACO algorithm called the cunning Ant System (cAS). In cAS, each ant generates a solution by borrowing a part of a solution which was generated in previous iterations, instead of generating the solution entirely from pheromone density. Thus we named it, cunning ant. This cunning action reduces premature stagnation and exhibits good performance in the sea...

Coding Ants: Using Ant Colony Optimization to Accelerate CT Reconstruction

There is no one size fits all solution when it comes to CT reconstruction. Many different CT reconstruction algorithms and implementations have been devised in an attempt to solve the problem of producing an image under a specific set of constraints. One optimal CT reconstruction implementation can look very different from another optimal implementation; depending on the data, quality, and time...

Reservoir Operation by Ant Colony Optimization Algorithms

In this paper, ant colony optimization (ACO) algorithms are proposed for reservoir operation. Through a collection of cooperative agents called ants, the near-optimum solution to the reservoir operation can be effectively achieved. To apply ACO algorithms, the problem is approached by considering a finite horizon with a time series of inflow, classifying the reservoir volume to several interval...

Multi-caste Ant Colony Optimization Algorithms

In this paper we present a multi-caste ant colony optimization approach, where each caste has its own set of parameters. Two variants are proposed: in the first, the composition of the castes remains fixed throughout the optimization, whilst the other allows ants to move from one caste to another. Results obtained in several traveling salesperson problem instances reveal that the adoption of a ...