Many swarm optimization algorithms have been introduced since the early 60's,
Evolutionary Programming to the most recent, Grey Wolf Optimization. All of these algorithms …

The flow shop scheduling problem is finding a sequence given n jobs with same order at m
machines according to certain performance measure (s). The job can be processed on at …

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

Typical challenges that managers of remanufacturing face are composed of the lack of
timely, accurate, and consistent information of remanufacturing resources. Therefore, it is …

According to the increasing carbon dioxide released through vehicles and the shortage of
water resources, decision-makers decided to combine the environmental and economic …

A swarm of robots is the coordination of multiple robots that can perform a collective task and
solve a problem more efficiently than a single robot. Over the last decade, this area of …

Ant colony optimization (ACO) algorithm is one of the most popular swarm-based algorithms
inspired by the behavior of an ant colony to find the shortest path for food. The multi …

We propose an enhanced multi-objective harmony search (EMOHS) algorithm and a
Gaussian mutation to solve the flexible flow shop scheduling problems with sequence …

Since multi-objective flow shop scheduling problem (MFSP) plays a key role in practical
scheduling, there has been an increasing interest in MFSP according to the literature …

The problem investigated in this study involves an unrelated parallel machine scheduling
problem with sequence-dependent setup times, different release dates, machine eligibility …