A new hybrid ant colony algorithm for scheduling of no-wait flowshop

A hybrid genetic algorithm for solving no-wait flowshop scheduling problems

A hybrid genetic algorithm is proposed in this paper to minimize the makespan and the total flowtime in the no-wait flowshop scheduling problem, which is known to be NP-hard for more than two machines. The Variable Neighborhood Search is used as an improvement procedure in the last step of the genetic algorithm. First, comparisons are provided with respect to several techniques that are represe...

A Simple No - Wait Flowshop Scheduling Heuristicfor

Hybrid Evolutionary Algorithm for Flowtime Minimisation in No-Wait Flowshop Scheduling

This research presents a novel approach to solve m-machine no-wait flowshop scheduling problem. A continuous flowshop problem with total flowtime as criterion is considered applying a hybrid evolutionary algorithm. The performance of the proposed method is evaluated and the results are compared with the best known in the literature. Experimental tests show the superiority of the evolutionary hy...

Application of ant colony optimization for no-wait flowshop scheduling problem to minimize the total completion time

Ant colony optimization (ACO) is a meta-heuristic proposed to derive approximate solutions for computationally hard problems by emulating the natural behaviors of ants. In the literature, several successful applications have been reported for graph-based optimization problems, such as vehicle routing problems and traveling salesman problems. In this paper, we propose an application of the ACO t...

A Hybrid Ant Colony Optimization Algorithm for Software Project Scheduling

The extraction of comprehensible knowledge is one of the major challenges in many domains. In this concept, an ant programming (AP) framework, which is capable of mining classification rules easily comprehensible by humans, and, therefore, capable of supporting expert-domain decisions, is presented. The algorithm proposed, called grammar based ant programming (GBAP), is the first AP algorithm d...