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

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 …

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 …

Coloured travelling salesman problem (CTSP) is an extended model of multiple travelling
salesman problems (MTSPs), as one kind of problem in combination optimisation problems …

In a bee colony, bees perform waggle dance in order to communicate the information of food
source to their hive mates. This foraging behaviour has been adapted in a bee colony …

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 …

A bee colony optimization (BCO) algorithm for traveling salesman problem (TSP) is
presented in this paper. The BCO model is constructed algorithmically based on the …

This paper addresses a newly introduced variant of traveling salesman problem, viz. k-
Interconnected Multi-Depot Multi-Traveling Salesman Problem (k-IMDMTSP). This problem …