Efficient exploration with Double Uncertain Value Networks

SEISMIC DESIGN OF DOUBLE LAYER GRIDS BY NEURAL NETWORKS

The main contribution of the present paper is to train efficient neural networks for seismic design of double layer grids subject to multiple-earthquake loading. As the seismic analysis and design of such large scale structures require high computational efforts, employing neural network techniques substantially decreases the computational burden. Square-on-square double layer grids with the va...

A Novel Hybrid Modified Binary Particle Swarm Optimization Algorithm for the Uncertain p-Median Location Problem

Here, we investigate the classical p-median location problem on a network in which the vertex weights and the distances between vertices are uncertain. We propose a programming model for the uncertain p-median location problem with tail value at risk objective. Then, we show that it is NP-hard. Therefore, a novel hybrid modified binary particle swarm optimization algorithm is presented to obtai...

Constrained Consumable Resource Allocation in Uncertain Project Networks with Fuzzy Activity Duration

FINITE-TIME PASSIVITY OF DISCRETE-TIME T-S FUZZY NEURAL NETWORKS WITH TIME-VARYING DELAYS

This paper focuses on the problem of finite-time boundedness and finite-time passivity of discrete-time T-S fuzzy neural networks with time-varying delays. A suitable Lyapunov--Krasovskii functional(LKF) is established to derive sufficient condition for finite-time passivity of discrete-time T-S fuzzy neural networks. The dynamical system is transformed into a T-S fuzzy model with uncertain par...

Two Comprehensive Strategies to Prioritize the Capacity Improvement Solutions in Railway Networks (Case Study: Iran)

The aim of this study is to present two comprehensive strategies for prioritizing the capacity improvement solutions in the railway networks. The solutions considered in this study include: promoting to double-track railways, block signaling system, electrification and re-opening the closed stations. The first strategy is based on a local approach, which concentrates on the critical block secti...