A two-stage evolutionary optimization approach for an irrigation system design

An Evolutionary Optimization System for Spacecraft Design

Spacecraft design optimization is a domain that can benefit from the application of optimization algorithms such as genetic algorithms. However, there are a number of practical issues that make the application of these algorithms to realworld spacecraft design optimization problems difficult in practice. In this paper, we describe DEVO, an evolutionary optimization system that addresses these i...

Multi-Objective Learning Automata for Design and Optimization a Two-Stage CMOS Operational Amplifier

In this paper, we propose an efficient approach to design optimization of analog circuits that is based on the reinforcement learning method. In this work, Multi-Objective Learning Automata (MOLA) is used to design a two-stage CMOS operational amplifier (op-amp) in 0.25μm technology. The aim is optimizing power consumption and area so as to achieve minimum Total Optimality Index (TOI), as a new...

Adaptive Optimization Approach for the Supervision of an Irrigation System

In this communication is considered the problem of the design of an efficient supervision system for a large irrigation system composed of a sequence of reaches which supply water for agricultural, industrial and domestic uses. Here the irrigation system is viewed as a hybrid dynamical system subject to continuous operations broken by discrete events when new goals must be defined on the short ...

An Approach to Reducing Overfitting in FCM with Evolutionary Optimization

Fuzzy clustering methods are conveniently employed in constructing a fuzzy model of a system, but they need to tune some parameters. In this research, FCM is chosen for fuzzy clustering. Parameters such as the number of clusters and the value of fuzzifier significantly influence the extent of generalization of the fuzzy model. These two parameters require tuning to reduce the overfitting in the...

A Design For An Islamic Economic System