Abstract The differential evolution (DE) algorithm is an efficient random search based on swarm intelligence for solving optimization problems. It has the advantages of easy implementation, fast convergence, strong ability and good robustness. However, performance DE very sensitive to design different operators setting control parameters. To solve these key problems, this paper proposes improve...

This paper presents an algorithm for solving the multi-objective reactive power dispatch problem in power system. Modal analysis of the system is used for static voltage stability assessment. Loss minimization and maximization of voltage stability margin are taken as the objectives. Generator terminal voltages, reactive power generation of the capacitor banks and tap changing transformer settin...

A poor quality affects project makespan and its total costs negatively, but it can be recovered by repair works during construction. We construct a new non-linear programming model based on the classic multi-mode resource constrained project scheduling problem considering repair works. In order to obtain satisfactory quality without a high increase of project cost, the objective is to minimize ...

The safe and efficient operation of the integrated energy system is severely hampered by a number unpredictable elements, such as output renewable sources, cost purchases, full demand response (IES). effectiveness excellence scheduling method can be increased with advanced modeling aspects. Thus, IES robust stochastic optimisation model constructed solved hybrid shuffled frog-leaping local sear...

The construction of low-cost nanogrids could help speed up the electrification rate in remote communities sub-Saharan Africa. One challenges nanogrid design for these is uncertainty future load demand profiles impacting cabling topology. We propose two new wiring approaches radial direct current power distribution systems. first one a modified minimum spanning tree (MST) algorithm and second an...

The distributed assembly scheduling problem with a hybrid-flow shop for fabrication is seldom studied, and some real-life constraints such as factory eligibility are handled. In this study, shop-scheduling (DAHFSP) investigated, which has symmetries on machines. A shuffled frog-leaping algorithm cooperations (CSFLA) applied to minimize makespan. problem-related feature used. Memeplexes evaluate...