Hybrid improved binary particle swarm optimization approach for generation maintenance scheduling problem

A wrapper-based approach for feature selection and classification of major depressive disorder–bipolar disorders

“…Besides, the contribution of metaheuristic FS methods is promising on classification performance [16][17][18][19][20][21][22][23][24]. Among these algorithms improved applications of FS methods are being used in order to abstain from the deficiencies of classical approaches [92][93][94]. In our study, QEEG coherence data of 46 BD and 55 MDD subjects were fed into IACO first.…”

Combined SA PSO method for transmission constrained maintenance scheduling using levelized risk method

“…1 illustrates the steps involved in the proposed CSABPSO algorithm to solve MS problem. The 'n' number of particles are generated by randomly selecting a value with uniform probability over the search space between maximum and minimum outage capacities of generator [x min , x max ] [19]. For example if there are N outage capacities in the COPT, the ith particle of 'm' is represented as follows: X mi = (X m1 , X m2 , X m3 , .…”

“…The MS with ED is the main confront is to schedule the generating units for maintenance while the running units handle fluctuating, uncertain and peak loads over the entire maintenance period [19]. The MS output can be used to facilitate the optimal dispatch for power system planning.…”

Spinning reserve contribution using unit responsibility criterion incorporating preventive maintenance scheduling

“…Indeed, PMS problem is contemplated as a large scale, non-convex, and mixed integer combinatorial optimization problem which can be solved via different deterministic [3,12], heuristic [2,4,[13][14][15][16], and hybrid methods [17][18][19][20], in previous decades. Currently, in most cases, the commercial solvers are also utilized to solve such complicated problem [5,7,21,22].…”