نتایج جستجو برای: multi objective genetic algorithm moga

تعداد نتایج: 2159089  

Journal: :Processes 2021

In order to improve the structural stiffness of gravure cell structure in solid printing process and realize a lightweight design, multi-objective optimization design method was proposed optimize parameters direct laser engraving structure. this paper, based on characteristics analysis contact force, ANSYS parametric language (APDL) used conduct finite element microstructure regular hexagonal c...

2010
Adel M. Sharaf Adel A. A. El-Gammal

The paper presents a family of novel switched smart filter compensated devices using Green Plug Smart Filter Soft Starter GP-SF-SS devices for small single phase induction motors used in air-conditioning, ventilation and water pumping. GP-SFSS devices are equipped with a dynamic online error driven optimally tuned modified PID controller that ensures improved power factor, reduced feeder losses...

2010
Corie L. Cobb Alice M. Agogino

A knowledge-based computer-aided design tool for microelectromechanical systems (MEMS) design synthesis called case-based synthesis of MEMS (CaSyn-MEMS) has been developed. MEMS-based technologies have the potential to revolutionize many consumer products and to create new market opportunities in areas such as biotechnology, aerospace, and data communications. However, the commercialization of ...

2007
M. Eftekhari

A feature of many practical control systems is a Multi-Input Multi-Output (MIMO) interactive structure with one or more gross nonlinearities. A primary controller design task in such circumstances is to predict and ensure the avoidance of limit cycling conditions followed by achieving other design objectives. This paper outlines how such a system may be investigated using the Sinusoidal Input D...

Journal: :Journal of Hydroinformatics 2023

Abstract The chlorine and total trihalomethane (TTHM) concentrations are sparsely measured in the trunk network of Bogotá, Colombia, which leads to a high uncertainty level at an operational level. For this reason, research assessed prediction accuracy for TTHM two black-box models based on following artificial intelligence techniques: neural networks (ANNs) adaptive neuro-fuzzy inference syste...

Journal: :Water 2023

Forecasting of sediment load (SL) is essential for reservoir operations, design water resource structures, risk management, planning and preventing natural disasters in the river basin systems. Direct measurement SL difficult, labour intensive, expensive. The development an accurate reliable model forecasting required. Sediment transport highly non-linear influenced by a variety factors. using ...

Journal: :Soft Computing 2022

This paper proposes a framework for time-efficiently finding multiple answers that meet logical constraints and are Pareto-optimal objective functions. The proposed determines set of optimal by iteratively replacing definite clauses. Clause replacement is performed using SAT solver consisting equivalent transformation rules (ETRs). An ETR replaces clause with one or more clauses while preservin...

2008
Seddik Khemaissia

This This paper describes the use of a Genetic Algorithm (GA) for the problem of point-to-point robot path planning and control. The problem consist of generating trajectories, for a two d.o.f robot to move from a starting position to a destination in a task space, represented by a two dimensional map, with obstacles that the Robot must evade. The role of the GA is to optimize possible paths ba...

The aim of this study is to optimize performance functions of turbofan engines considering the off-design model of turbofan engine as well as employing multi-objective genetic algorithm. The design variables including high-pressure compressor pressure ratio, low-pressure compressor pressure ratio, fan pressure ratio and bypass ratio are calculated in such a way that the corresponding functions ...

Journal: :Expert Syst. Appl. 2013
Giuseppe Aiello Giada La Scalia Mario Enea

The unequal area facility layout problem (UA-FLP) comprises a class of extremely difficult and widely applicable optimization problems arising in diverse areas and meeting the requirements for real-world applications. Genetic Algorithms (GAs) have recently proven their effectiveness in finding (sub) optimal solutions to many NP-hard problems such as UA-FLP. A main issue in such approach is rela...

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