[BOOK][B] Ant colony optimization: overview and recent advances
Abstract Ant Colony Optimization (ACO) is a metaheuristic that is inspired by the pheromone
trail laying and following behavior of some ant species. Artificial ants in ACO are stochastic …
trail laying and following behavior of some ant species. Artificial ants in ACO are stochastic …
The ant colony optimization metaheuristic: Algorithms, applications, and advances
Conclusions The field of ACO algorithms is very lively, as testified, for example, by the
successful biannual workshop (ANTS—From Ant Colonies to Artificial Ants: A Series of …
successful biannual workshop (ANTS—From Ant Colonies to Artificial Ants: A Series of …
[PDF][PDF] Metaheuristics: From Design to Implementation
EG Talbi - John Wiley & Sons google schola, 2009 - zeus.inf.ucv.cl
A unified view of metaheuristics This book provides a complete background on
metaheuristics and shows readers how to design and implement efficient algorithms to solve …
metaheuristics and shows readers how to design and implement efficient algorithms to solve …
Ant colony optimization
Swarm intelligence is a relatively new approach to problem solving that takes inspiration
from the social behaviors of insects and of other animals. In particular, ants have inspired a …
from the social behaviors of insects and of other animals. In particular, ants have inspired a …
Review and classification of bio-inspired algorithms and their applications
Scientists have long looked to nature and biology in order to understand and model
solutions for complex real-world problems. The study of bionics bridges the functions …
solutions for complex real-world problems. The study of bionics bridges the functions …
Exploring and exploiting ant colony optimization algorithm for vertical highway alignment development
The vertical alignment optimization is about develo** a minimum cost curvilinear vertical
profile of constrained grade sections and appropriate non‐overlap** vertical curves …
profile of constrained grade sections and appropriate non‐overlap** vertical curves …
A taxonomy and an empirical analysis of multiple objective ant colony optimization algorithms for the bi-criteria TSP
The difficulty to solve multiple objective combinatorial optimization problems with traditional
techniques has urged researchers to look for alternative, better performing approaches for …
techniques has urged researchers to look for alternative, better performing approaches for …
Ant colony optimization with immigrants schemes for the dynamic travelling salesman problem with traffic factors
Traditional ant colony optimization (ACO) algorithms have difficulty in addressing dynamic
optimization problems (DOPs). This is because once the algorithm converges to a solution …
optimization problems (DOPs). This is because once the algorithm converges to a solution …
A review on the ant colony optimization metaheuristic: basis, models and new trends
Ant Colony Optimization (ACO) is a recent metaheuristic method that is inspired by the
behavior of real ant colonies. In this paper, we review the underlying ideas of this approach …
behavior of real ant colonies. In this paper, we review the underlying ideas of this approach …
Ant colony optimization
Ant Colony Optimization (ACO) is a paradigm for designing metaheuristic algorithms for
combinatorial optimization problems. The first algorithm which can be classified within this …
combinatorial optimization problems. The first algorithm which can be classified within this …