A review on representative swarm intelligence algorithms for solving optimization problems: Applications and trends
J Tang, G Liu, Q Pan - IEEE/CAA Journal of Automatica Sinica, 2021 - ieeexplore.ieee.org
Swarm intelligence algorithms are a subset of the artificial intelligence (AI) field, which is
increasing popularity in resolving different optimization problems and has been widely …
increasing popularity in resolving different optimization problems and has been widely …
Introductory overview: Optimization using evolutionary algorithms and other metaheuristics
Environmental models are used extensively to evaluate the effectiveness of a range of
design, planning, operational, management and policy options. However, the number of …
design, planning, operational, management and policy options. However, the number of …
[HTML][HTML] Improving K-means clustering with enhanced Firefly Algorithms
In this research, we propose two variants of the Firefly Algorithm (FA), namely inward
intensified exploration FA (IIEFA) and compound intensified exploration FA (CIEFA), for …
intensified exploration FA (IIEFA) and compound intensified exploration FA (CIEFA), for …
A hybrid algorithm based on state-adaptive slime mold model and fractional-order ant system for the travelling salesman problem
The ant colony optimization (ACO) is one efficient approach for solving the travelling
salesman problem (TSP). Here, we propose a hybrid algorithm based on state-adaptive …
salesman problem (TSP). Here, we propose a hybrid algorithm based on state-adaptive …
[كتاب][B] Evolutionary algorithms for solving multi-objective problems
CAC Coello - 2007 - Springer
Problems with multiple objectives arise in a natural fashion in most disciplines and their
solution has been a challenge to researchers for a long time. Despite the considerable …
solution has been a challenge to researchers for a long time. Despite the considerable …
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 …
[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 colony optimization: a new meta-heuristic
Recently, a number of algorithms inspired by the foraging behavior of ant colonies have
been applied to the solution of difficult discrete optimization problems. We put these …
been applied to the solution of difficult discrete optimization problems. We put these …
MAX–MIN ant system
Ant System, the first Ant Colony Optimization algorithm, showed to be a viable method for
attacking hard combinatorial optimization problems. Yet, its performance, when compared to …
attacking hard combinatorial optimization problems. Yet, its performance, when compared to …