Genetic algorithms (GA) are exploratory search and optimisation methods that are based on a Darwinian-type survival of the fittest strategy with reproduction, where stronger individuals in the population have a higher chance of creating offspring. Each individual in the population represents a potential solution to the problem. The individuals are represented in the GA by means of string simila...

In this paper, a new topology of cascaded multilevel inverter using a reduced number of switches is proposed. The new topology has the advantage of reduced number devices compared to traditional configurations and can be extended to any number of levels. This topology results in reduction of installation area, cost, computational time and has simplicity of control system. This structure consist...

abstract- inadequate water supply is the major problem for agriculture in arid and semi-arid regions. thus, effective management should be considered for water resources planning. in this research, a model was provided which is able to estimate optimal land and water allocation in the doroodzan irrigation network. optimal water management model was used at farm level to evaluate different defic...

Anthony Pioli April 4, 1997 When we hear the terms \genetic" and \algorithm", we normally would not concatenate the two together. This paper describes \genetic algorithms" and hopefully shows that the two terms can be used together. In the rst part, I explain what genetic algorithms are and how they work. In the second section, some examples are shown, and nally some concluding remarks are made...

in this paper an application of cellular learning automata (cla) to vlsi placement is presented. the cla, which is introduced for the first time in this paper, is different from standard cellular learning automata in two respects. it has input and the cell neighborhood varies during the operation of cla. the proposed cla based algorithm for vlsi placement is tested on number of placement proble...

An efficient assignment and scheduling of tasks is one of the key elements in effective utilization of heterogeneous multiprocessor systems. The task scheduling problem has been proven to be NP-hard is the reason why we used meta-heuristic methods for finding a suboptimal schedule. In this paper we proposed a new approach using TRIZ (specially 40 inventive principles). The basic idea of thi...

shear and compressional wave velocities along with other petrophysical logs, are considered as upmost important data for hydrocarbon reservoirs characterization. shear wave velocity (vs) in well logging is commonly measured by some sort of dipole logging tools, which are able to acquire shear waves as well as compressional waves such as sonic scanner, dsi (dipole shear sonic imager) by schlumbe...