Swarm intelligence (SI) is briefly defined as the collective behaviour of decentralized and
self-organized swarms. The well known examples for these swarms are bird flocks, fish …

An iterated greedy algorithm (IGA) is a simple and powerful heuristic algorithm. It is widely
used to solve flow-shop scheduling problems (FSPs), an important branch of production …

Distributed permutation flowshop scheduling problem (DPFSP) has become a very active
research area in recent years. However, minimizing total flowtime in DPFSP, a very relevant …

The distributed assembly mixed no-idle permutation flowshop scheduling problem
(DAMNIPFSP), a common occurrence in modern industries like integrated circuit production …

The artificial bee colony (ABC) algorithm is a relatively new optimization technique which
has been shown to be competitive to other population-based algorithms. However, ABC has …

The distributed permutation flowshop scheduling problem (DPFSP) has been a hot issue in
recent years. Due to the practical relevance of sequence-dependent setup time (SDST), we …

Task scheduling in cloud environment is a hot topic in current research. Effective scheduling
of massive tasks submitted by users in cloud environment is of great practical significance …

With the development of global and decentralised economies, distributed production
emerges in large manufacturing firms. A distributed production model exists with hybrid …

Artificial bee colony (ABC) is a recently proposed optimization technique which has shown
to be competitive to other population-based stochastic algorithms. However, ABC is good at …

The hybrid flowshop scheduling problem (HFSP) has been widely studied in the past
decades. The most commonly used criterion is production efficiency. Green criteria, such as …