[كتاب][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 …
Ant algorithms for discrete optimization
This article presents an overview of recent work on ant algorithms, that is, algorithms for
discrete optimization that took inspiration from the observation of ant colonies' foraging …
discrete optimization that took inspiration from the observation of ant colonies' foraging …
A survey of swarm intelligence for dynamic optimization: Algorithms and applications
Swarm intelligence (SI) algorithms, including ant colony optimization, particle swarm
optimization, bee-inspired algorithms, bacterial foraging optimization, firefly algorithms, fish …
optimization, bee-inspired algorithms, bacterial foraging optimization, firefly algorithms, fish …
Swarm Intelligence: From Natural to Artificial Systems
Social insects--ants, bees, termites, and wasps--can be viewed as powerful problem-solving
systems with sophisticated collective intelligence. Composed of simple interacting agents …
systems with sophisticated collective intelligence. Composed of simple interacting agents …
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 …
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 …
QELAR: A machine-learning-based adaptive routing protocol for energy-efficient and lifetime-extended underwater sensor networks
Underwater sensor network (UWSN) has emerged in recent years as a promising
networking technique for various aquatic applications. Due to specific characteristics of …
networking technique for various aquatic applications. Due to specific characteristics of …
Ant colony optimization for routing and load-balancing: survey and new directions
Although an ant is a simple creature, collectively a colony of ants performs useful tasks such
as finding the shortest path to a food source and sharing this information with other ants by …
as finding the shortest path to a food source and sharing this information with other ants by …
An ant colony optimization algorithm for the redundancy allocation problem (RAP)
This paper uses an ant colony meta-heuristic optimization method to solve the redundancy
allocation problem (RAP). The RAP is a well known NP-hard problem which has been the …
allocation problem (RAP). The RAP is a well known NP-hard problem which has been the …
A comparative study of PID controller tuning using GA, EP, PSO and ACO
The aim of this paper is to study the tuning of a PID controller using soft computing
techniques. The methodology and efficiency of the proposed method are compared with that …
techniques. The methodology and efficiency of the proposed method are compared with that …