Green logistics (GL) is gaining increasing attention among academic researchers and
industrial practitioners, due to the escalating deterioration of the environment. Various green …

Over past few decades, families of algorithms based on the intelligent group behaviors of
social creatures like ants, birds, fishes, and bacteria have been extensively studied and …

Abstract Ant Colony Optimization (ACO) and Bee Colony Optimization (BCO) are famous
meta-heuristic search algorithms used in solving numerous combinatorial optimization …

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 …

Most swarm intelligence algorithms were devised for continuous optimization problems.
However, they have been adapted for discrete optimization as well with applications in …

This paper proposes the combination of Swarm Intelligence algorithm of artificial bee colony
with heuristic scheduling algorithm, called Heuristic Task Scheduling with Artificial Bee …

Particle swarm optimization (PSO) is a population-based stochastic algorithm modeled on
the social behaviors observed in flocking birds. Over the past quarter century, the particle …

Software test suite optimisation is one of the most important problems in software
engineering research. To achieve this optimisation, a novel approach based on artificial bee …

Emergency incidents increase the uncertainty of supply chain environment, and also make
the supply chain vulnerability expose. Creating resilient supply chain is an effective way to …

Open shop scheduling problems (OSSP) are one of the most time-consuming works in
scheduling problems. Currently, many artificial intelligence algorithms can reduce the …