The article presents the results of a computation experiment in which a genetic algorithm (GA) and a hybrid evolutionary algorithm (HEA) were used. The respective results are compared for an objective function describing employment level regularity.

Due to the complex structural issues and increasing number of design variables, a rather fast optimization algorithm to lead to a global swift convergence history without multiple attempts may be of major concern. Genetic Algorithm (GA) includes random numerical technique that is inspired by nature and is used to solve optimization problems. In this study, a novel GA method based on self-a...

 This paper considers a bi-objective scheduling problem in a flexible manufacturing cell (FMC) which minimizes the maximum completion time (i.e., makespan) and maximum tardiness simultaneously. A new mathematical model is considered to reflect all aspect of the manufacturing cell. This type of scheduling problem is known to be NP-hard. To cope with the complexity of such a hard problem, a genet...

In this paper, a new beamforming technique for planar two-dimensional arrays is proposed optimizing the sidelobe levels (SLLs) by using recursive multibeam pattern subtraction (MPS) technique. The MPS beamformer demonstrated and its convergence to lower SLL values investigated controlled. performance analysis has shown that can effectively reduce down less than −50 dB relative mainlobe level ut...

This paper describes the application of biologically-inspired algorithms and concepts to the design of wideband antenna arrays. In particular, we address two specific design problems. The first involves the design of a constrained-feed network for a Rotman-lens beamformer. We implemented two evolutionary optimization (EO) approaches, namely a simple genetic algorithm (SGA) and a competent genet...

In this paper, a bi-level game-theoretic model is proposed to investigate the effects of governmental financial intervention on green supply chain. This problem is formulated as a bi-level program for a green supply chain that produces various products with different environmental pollution levels. The problem is also regard uncertainties in market demand and sale price of raw materials and pro...