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Optimization of micro-grid system using MOPSO
Access to a reliable source of electricity is a basic need for any community as it can improve the living standards characterized via the improvement of healthcare, education, and the local economyExpand
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A novel method for loss minimization in distribution networks
TLDR
In this paper, a novel method is proposed by formulating an algorithm to reconfigure distribution networks for loss minimization. Expand
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Improved genetic algorithms based optimum path planning for mobile robot
TLDR
Improved genetic algorithms of optimum path planning for mobile robot navigation are proposed. Expand
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Optimization of power system stabilizers using participation factor and genetic algorithm
Abstract This paper describes a method to determine the optimal location and the number of multi-machine power system stabilizers (PSSs) using participation factor (PF) and genetic algorithm (GA).Expand
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Network reconfiguration for load balancing in distribution networks
Network reconfiguration of a power distribution system is an operation to alter the topological structure of distribution feeders by changing open/closed status of sectionalising and tie switches. ByExpand
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Variable-Order Ant System for VLSI multiobjective floorplanning
TLDR
In this work, Variable-Order Ant System (VOAS) is developed and combined with a floorplan model namely Corner List (CL) to optimize the area and wirelength. Expand
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Neural network ensemble for financial trend prediction
TLDR
Presents a study of an artificial neural network that works collectively as an ensemble for the task of predicting the future trends of a financial time series from a classification approach. Expand
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Utilization of Webots and Khepera II as a platform for Neural Q-Learning controllers
TLDR
The Webots commercial mobile robot simulation software and Khepera II miniature mobile robot have always been popular tools in research centers and universities. Expand
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BEHAVIOUR BASED MOBILE ROBOT NAVIGATION TECHNIQUE USING AI SYSTEM: EXPERIMENTAL INVESTIGATION ON ACTIVE MEDIA PIONEER ROBOT
A key issue in the research of an autonomous robot is the design and development of the navigation technique that enables the robot to navigate in a real world environment. In this research, theExpand
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Handwritten Character Recognition Using Multiscale Neural Network Training Technique
TLDR
We use multiscale neural training with modifications in the input training vectors is adopted in this paper to acquire its advantage in training higher resolution character images. Expand
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