Vehicular Ad hoc NETworks (VANETs) are a major component recently used in the development of Intelligent Transportation Systems (ITSs). VANETs have a highly dynamic and portioned network topology due to the constant and rapid movement of vehicles. Currently, clustering algorithms are widely used as the control schemes to make VANET topology less dynamic for Medium Access Control (MAC), routing ...

A major difficulty in the use of metaheuristics (i.e. evolutionary and particle swarm algorithms) to deal with multi-objective optimization problems is the choice of a convenient point at which to stop computation. Indeed, it is difficult to find the best compromise between the stopping criterion and the algorithm performance. This paper addresses this issue using the Non-dominated Sorting Gene...

The growing dominance in terms of industrial applications has helped polymer-based composite materials conquering new markets relentlessly. But the presence fibrous residuals and abrasive particles as reinforcement polymer matrix composites (PMCs) affects output quality characteristics (OQCs) microdrilling operations. OQC aims at reducing overcuts momentous material removal rate (MRR). In such ...

In this paper, an innovative method for designing the top load of a very low frequency (VLF) thirteen-tower umbrella antenna based on multiobjective particle swarm optimization (MOPSO) is proposed. The design antenna’s mainly involves sag and position distribution cables. On basis analyzing influence cables’ radiation efficiency, MOPSO Pareto optimality used to optimize location catenaries. res...

In the quest to achieve home comfort with highest possible efficiency, there is an increasing interest in combined cooling, heating and power (CCHP) systems. These can be fuelled by natural gas potentially hydrogen enriched ultimately hydrogen. The optimised designs largely depend on energy dispatch algorithms that take into account aspects of economic environmental impacts as well system effic...

The Job Shop Scheduling Problem (JSSP) has enormous industrial applicability. This problem refers to a set of jobs that should be processed in specific order using machines. For the single-objective optimization JSSP problem, Simulated Annealing is among best algorithms. However, Multi-Objective (MOJSSP), these algorithms have barely been analyzed, and Threshold Accepting Algorithm not publishe...

With the rapid development of sensor technology and mobile services, service model crowd sensing (MCS) has emerged. In this model, user groups perceive data through carried terminal devices, thereby completing large-scale distributed tasks. Task allocation is an important link in MCS, but interests task publishers, users, platforms often conflict. Therefore, to improve performance MCS allocatio...

This article investigates a JIT single machine scheduling problem with a periodic preventive maintenance. Also to maintain the quality of the products, there is a limitation on the maximum number of allowable jobs in each period. The proposed bi-objective mixed integer model minimizes total earliness-tardiness and makespan simultaneously. Due to the computational complexity of the problem, mult...