An Effective Oriented Genetic Algorithm for solving redundancy allocation problem in multi-state power systems

Some Efficient Algorithms to Deal With Redundancy Allocation Problems

“…In this paper, we will adopt the mathematical tool detailed by the authors in [7,8,9,10]. A serial-parallel multi-state system is often made up of n subsystems in series.…”

“…All these components are characterized by their availability A iv , their performance G iv , their cost C iv in the market. The structure of each subsystem i, is defined by the number K iv of parallel components for each version [10].…”

Reliability optimization using hybrid genetic and particle swarm optimization algorithm

“…[10] proposed general reliability-redundancy allocation problem (GRRAP) for more general network systems, further proposed BAT-SSOA3 algorithm which is combination of binary-addition-tree (BAT) algorithm, SSO (simplified swarm optimization) and (A3) small-sampling tri-objective orthogonal array to solve GRRAP. [11] introduced effective oriented genetic algorithm that is improved version of genetic algorithm (GA) to find solution for reliability redundancy allocation (RRAP) problems of series & parallel multistate systems in an efforts to improve reliability of the system by increasing the reliability of subsystems. [12] used genetic algorithm, penalty function based cuckoo optimization algorithm & stochastic fractal search guided by penalty to find solution of reliability redundancy allocation (RRAP) problems, further comparison has been made to showcase the differences in methods.…”