This article overviews a recent PhD dissertation representing the first effort at many-objective optimization in job shop scheduling (JSS). The thesis develops genetic programming hyperheuristic (GP-HH) approaches to evolve effective dispatching rules for many conflicting objectives JSS problems. aim is develop GP-HH methods that alleviate issues related problems and new capable of enhancing sh...

Despite the remarkable work conducted to improve fog computing applications’ efficiency, task scheduling problem in such an environment is still a big challenge. Optimizing these applications, i.e. critical healthcare smart cities, and transportation urgent save energy, quality of service, reduce carbon emission rate, flow time. As proposed much recent work, dealing with this as single objectiv...

The complexity of power systems is increasing as new generating units are added to in order supply the growing economies. This has resulted further research into generator maintenance scheduling (GMS) problem which seeks ensure optimal preventive that effective and reliable. focused on developing a schedule using tri-objective model. GMS model solved two solution methodologies. first an exact m...

The satellites scheduling mission play an effective role in enhancing the of ground station control and monitoring systems. In this search, SGSEO is re-formulated into a multi-objective optimization task. Therefore, Gravitational Search Algorithm GSA exploited to attain several essential objectives for generating tight scheduling. Moreover, particle swarm model PSO consolidated with novel form ...