In this study, we propose an efficient optimization algorithm that is a hybrid of the iterated
greedy and simulated annealing algorithms (hereinafter, referred to as IGSA) to solve the …

In real manufacturing systems there are many combinatorial optimization problems (COP)
imposing on more complex issues with multiple objectives. However it is very difficult for …

In order to build a green manufacturing model and realize energy conservation and
emission reduction, we establish a distributed two-stage reentrant hybrid flow shop bi-level …

Factory management plays an important role in improving the productivity and quality of
service in the production process. In particular, the distributed permutation flow shop …

The classical hybrid flow shop scheduling problem (HFSSP) considers the operation and
machine constraints but not the worker constraint. Acknowledging the influence and …

This paper focuses on determining routes for raw milk collection from collection centers to
dairy factories with the objective of minimizing the total costs, considering fuel costs and …

This paper presents algorithms based on differential evolution (DE) to solve the generalized
assignment problem (GAP) with the objective to minimize the assignment cost under the …

This paper presents the Hybrid Particle Swarm Optimization and Neighborhood Strategy
Search (HPSO-NS) to solve a tractor scheduling and routing problem with equipment …

In this research, flexible flow shop scheduling with unrelated parallel machines at each
stage are considered. The number of stages and machines vary at each stage and each …

Efficient ground handling at airports contributes significantly to the performance of the entire
air transport network. In this network, airports are coupled by flights that depend on …