In this paper, the recent applications and advances of Migrating Birds Optimization (MBO)
algorithm are reviewed. The MBO originated from the V flight shape of the migrating birds in …

In this paper, a multi-objective hybrid flowshop rescheduling problem with respect to the
production efficiency and instability is addressed in a dynamic shop environment, where two …

This study designs a joint decision model to solve cell formation and product scheduling
problems together in multifactory cellular manufacturing systems. If a product is processed in …

In this research, we present a Binary Cat Swarm Optimization for solving the Manufacturing
Cell Design Problem (MCDP). This problem divides an industrial production plant into a …

This paper proposes a novel population based optimization algorithm called Andean
Condor Algorithm (ACA) for solving cell formation problems. The ACA metaheuristic is …

The manufacturing cell design problem (MCDP) aims to minimise the movements of parts
between the production cells. The MCDP is an NP‐Hard optimisation problem with a binary …

In this paper, we integrate the autonomous search paradigm on a swarm intelligence
algorithm in order to incorporate the auto-adjust capability on parameter values during the …

Abstract Migrating Birds Optimisation (mbo) is a nature-inspired approach which has been
shown to be very effective when solving a variety of combinatorial optimisation problems …

Abstract The term “Swarm Intelligence” refers directly to the collective behavior of a group of
animals, which are following very basic rules, or to an Artificial Intelligence approach, which …

The Manufacturing cell design problem focuses on the creation of an optimal distribution of
the machinery on a productive plant, through the creation of highly independent cells where …