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...

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...

Wireless sensor Network (WSN) now finds a plethora of sectors in which to collect data and monitor both physical environmental functions. The most significant challenge we confront WSN is energy usage life span. delivered nodes through the battery adds complexity. demand for energy-boosting approaches growing. This study aims provide routing protocol that efficient. method aids lowering consump...

Distributed Generations (DGs) are utilized to supply the active and reactive power in the transmission and distribution systems. These types of power sources have many benefits such as power quality enhancement, voltage deviation reduction, power loss reduction, load shedding reduction, reliability improvement, etc. In order to reach the above benefits, the optimal placement and sizing of DG is...

we study the problem of reconstructing binary images from four projections data in a fuzzy environment. given the uncertainly projections,w e want to find a binary image that respects as best as possible these projections. we provide an iterative algorithm based on fuzzy integer programming and linear membership functions.

This paper proposes a superior Mixed Integer based hybrid Genetic Algorithm (MIGA) which inherits the advantages of binary and real coded Genetic Algorithm approach. The proposed algorithm is applied for the conventional generation cost minimization Optimal Power Flow (OPF) problem and for the Security Constrained Optimal Power Flow problem. Here, the main shortcoming with the conventional Gene...

It is well-known that, given inorder traversal along with one of the preorder or postorder traversals of a binary tree, the tree can be determined uniquely. Several algorithms have been proposed to reconstruct a binary tree from its inorder and preorder traversals. There is one study to reconstruct a binary tree from its inorder and postorder traversals, and this algorithm takes running time of...

multiple traveling salesman problem (mtsp) is one of the most popular operation research problem and is known as combinatorial optimization problems. mtsp is an extension version of the famous and widely used problem named traveling salesman problem (tsp). because of its benefices in various domains, many researchers have tried to solve that, and many methods have proposed so far. mtsp is a np-...