Artificial bee colony (ABC) algorithm, which has explicit strategies to balance intensification
and diversification, is a smart swarm intelligence algorithm and was first proposed for …

Abstract The Artificial Bee Colony (ABC) algorithm is a swarm intelligence approach which
has initially been proposed to solve optimisation of mathematical test functions with a unique …

In this research paper, Artificial Bee Colony algorithm is modified with multiple update rules
and K-opt operation to solve the Traveling Salesman Problem. Here the features of swap …

Artificial bee colony (ABC) is a quite popular optimization approach that has been used in
many fields, with its not only standard form but also improved versions. In this paper, new …

By combining the modified nearest neighbor approach and the improved inver-over
operation, an Artificial Bee Colony (ABC) Algorithm for Traveling Salesman Problem (TSP) is …

This paper presents a discrete artificial bee colony algorithm (DABC) for solving the traveling
salesman problem with time windows (TSPTW) in order to minimize the total travel cost of a …

Many real world industrial applications involve the Traveling Salesman Problem (TSP),
which is a problem that finds a Hamiltonian path with minimum cost. Examples of problems …

Artificial bee Colony algorithm (ABC) is a population based heuristic search technique used
for optimization problems. ABC is a very effective optimization technique for continuous …

Artificial Bee colony algorithm is a modern swarm intelligence algorithm. This paper
proposes a modified version of artificial bee colony algorithm called “Adaptive Artificial Bee …

The artificial bee colony (ABC) algorithm, inspired intelligent behaviors of real honey bee
colonies, was introduced by Karaboğa for numerical function optimization. The basic ABC …