Abstract: The parameters of finance requirements, resource leveling, and anticipated profit have significant influence on many aspects of project management. These parameters interact and occasionally conflict with each other. ...

Abstract: Precedence-preserving crossover and mutation operators for scheduling problems with activities’ start times encoding are proposed and employed in this paper. The objective is to tackle the incapability of the genetic ...

Abstract: A strength Pareto evolutionary algorithm (SPEA) is proposed and was modified by incorporating logic-preserving crossover and mutation operators and employed to devise a set of optimum finance-based schedules of multiple ...

Abstract: In this paper, a strength Pareto evolutionary algorithm based approach is proposed for designing a multistage fuzzy-based guidance law which consists of three fuzzy controllers. Each of these controllers is activated in a ...