The stock market has always been an attractive area for researchers since no method has been found yet to predict the stock price behavior precisely. Due to its high rate of uncertainty and volatility, it carries a higher risk than any other investment area, thus the stock price behavior is difficult to simulation. This paper presents a “data mining-based evolutionary fuzzy expert system” (DEFE...

Morpho-agronomic and molecular (RAPD and ISSR markers) data were used to evaluate genetic distances between papaya backcross progenies in order to help identify agronomically superior genotypes. Thirty-two papaya progenies were evaluated based on 15 morpho-agronomic characteristics, 20 ISSR and 19 RAPD primers. Manhattan, Jaccard and Gower distances were used to estimate differences based ...

In this article, a finite horizon, multi product and multi period economic order quantity like seasonal items is considered where demand rate is deterministic and known but variable in each period. The order quantities of items come in batch sizes and the end of the period order quantity and, consequently, demand of customers are zero. In addition, storage space is constrained and the problem...

The genetic algorithm is of advantages to solve an inversion of complex non-linear geophysical equations. Its multi-point searching is able to find the globally optimal solution and avoid falling into a local extremum. The searching efficiency of the genetic algorithm is a key to successfully resolve a geophysical inversion problem in a huge model space with multi-parameters. Encoding mechanism...

The present study is an attempt to propose a mutation-based real-coded genetic algorithm (MBRCGA) for sizing and layout optimization of planar and spatial truss structures. The Gaussian mutation operator is used to create the reproduction operators. An adaptive tournament selection mechanism in combination with adaptive Gaussian mutation operators are proposed to achieve an effective search in ...

By the analysis of the performance of binary encoding and real encoding and the characteristics of the optimization process, hybrid coding is proposed by combining binary encoding and real encoding. Hybrid coding synthesizes the advantage of both binary encoding and decimal encoding and maintains the accuracy of the algorithm. Accelerated operator based on line search is introduced to improve t...

Binary neural networks (BNNs) show promising utilization in cost and power-restricted domains such as edge devices mobile systems. This is due to its significantly less computation storage demand, but at the of degraded performance. To close accuracy gap, this paper we propose add a complementary activation function (AF) ahead sign based binarization, rely on genetic algorithm (GA) automaticall...