this paper uses integrated data envelopment analysis (dea) models to rank all extreme and non-extreme efficient decision making units (dmus) and then applies integrated dea ranking method as a criterion to modify genetic algorithm (ga) for finding pareto optimal solutions of a multi objective programming (mop) problem. the researchers have used ranking method as a shortcut way to modify ga to d...

This paper discusses how to optimize the weighting of individual subarrays derive low sidelobe level (SLL) based on quadratic programming (QP) and QP parameters ensure that objective function is composed form, with actual number identical standard QP. Next, in order analyze SLL, a 24 × phased array antenna was compared 96 transmit–receive modules (TRMs) attached only subarray stage 576 TRMs all...

Massive multiple input multiple output antenna array is crucial for the fifth generation wireless communication. Proper antenna array design can reduce interference among different signals and generate desirable beamforming. Sparse antenna array is able to form narrower beam with lower sidelobe than equally spaced antenna array given the same number of array elements. However, determining the p...

The current study presents an improved genetic algorithm(GA) for the flexible job shop scheduling problem (FJSP). The coding is divided into working sequence level and machine level and two effective crossover operators and mutation operators are designed for the generation and reduce the disruptive effects of genetic operators. The algorithm is tested on instances of 10 working sequences and 1...

Directive antenna array with reduced side lobe level can be obtained using thinned array. This paper describes the design of planar thinned array using Hadamard matrix-like arrangement. Here ‘on’ and ‘off’ states of the antenna elements are arranged based on Hadamard Matrix and inter-element spacing in x and y-directions are varied and then genetic algorithm is used to optimize lowest side lobe...

among various heuristics techniques, genetic algorithm (ga) is one of the most widely used techniques which has successfully been applied on a variety of complex combinatorial problems. the performance of ga largely depends on the proper selection of its parameters values; including crossover mechanism, probability of crossover, population size and mutation rate and selection percent. in this p...

In this paper, we present an application of evolved neural networks using a real coded genetic algorithm for simulations of monthly groundwater levels in a coastal aquifer located in the Shabestar Plain, Iran. After initializing the model with groundwater elevations observed at a given time, the developed hybrid genetic algorithm-back propagation (GA-BP) should be able to reproduce groundwater ...

In this work, the cockroach swarm optimization (CSO) technique was investigated for its potential to reduce side lobe levels of an array linear antennae. This is applied antenna synthesis first time by authors. Variations in excitation phase, number elements, and inter-element spacing were also determine their effects on antenna's level (SLL). The objective work optimize distance strength signa...