P-Evolution: A Novel Approach to Ant Colony Optimization Akshay Joshi #1‚ C.G.Nitash #2‚ Anish Sawkar #3 Prof. Nilesh B Fal Dessai #4 and Prof Vijay Borges #5 # Information Technology Department‚ Goa College of Engineering‚ Goa akshayjoshi999@gmail.com1‚ cgnitash@gmail.com2‚ anishsawkar@gmail.com3‚ nfd@gec.ac.in4‚ vb@gec.ac.in5 Abstract The Ant Colony Optimization (ACO) technique uses the foraging behaviour of biological ants‚ which rely on less on memory and depends more on collective intelligence
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Applied Energy 87 (2010) 1158–1175 Contents lists available at ScienceDirect Applied Energy journal homepage: www.elsevier.com/locate/apenergy Energy efficient fuzzy based combined variable refrigerant volume and variable air volume air conditioning system for buildings R. Karunakaran a‚ S. Iniyan b‚*‚ Ranko Goic c a Department of Mechanical Engineering‚ Anna University Tiruchirappalli-Thirukkuvalai campus‚ India Institute for Energy Studies‚ Department of Mechanical Engineering‚ Anna
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Dynamic Signal Analyzer for dSPACE K. A. Lilienkamp‚ and D. L. Trumper Precision Motion Control Lab‚ MIT‚ Rm 35-030‚ 77 Mass. Ave‚ Cambridge‚ MA 02139 We have developed MATLAB software and a Simulink subsystem block which work in tandem to extract the transfer function (amplitude and phase) of a system using ‘swept sine’ excitation. The resulting dynamic signal analyzer provides a convenient tool for obtaining empirical Bode plots of system and controller dynamics within the dSPACE environment.
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Trekbooking.com concept and content Create an independent online trek search engine and trekking agency aggregator at www.trekbooking.com‚ allowing for easy identification of suitable treks and booking of preferred trekking agents in Nepal. Www.trekbooking.com will deliver the following value to its end-customers: * competitively priced treks (enabled by having multiple agencies on the portal) * easy identification of a suitable trek and booking of preferred trekking agent (enabled by
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Optimization of Transformers in Solar Energy As renewable sources of energy are becoming more appealing for economical and environmental reasons‚ it is important to explore ways to optimize our production of these alternative forms of energy. Solar energy is one of the cleanest options for renewable energy but is less preferable due to the short term cost effectiveness of constructing mass solar plants. It is important to try and improve upon the existing technology of solar power production as
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Phagwara‚ India kaushal_ne22@yahoo.co.in Personality.sonika@gmail.com jaspreet.14752@lpu.co.in Abstract- The Bees Algorithm is an optimization algorithm to find the optimal path solution. Bee Colony Optimization Algorithm depicts the natural behavior of real honey bees in food foraging. Honey bees use several mechanisms like waggle dance to optimally locate food sources and to search new ones. This makes them a good candidate
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Robust control systems may successfully be designed by ~’=-optimization‚ in particular‚ by reformulating the design problem as a mixed sensitivity problem. Key Words--~=-optimal control; robust control. Abstract--The paper presents a tutorial exposition of ~=-optimal regulation theory‚ emphasizing the relevance of the mixed sensitivity problem for robust control system design. 1. INTRODUCTION THE INVESTIGATION OF ~®-optimization of control systems began in 1979 with a conference paper by
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Benefits of Search Engine Optimization for Your Business The world is becoming more modern as time passes by. If you want your business to be more profitable and reach its full potential‚ you have to make sure that it goes with the modernization. The most effective way to do this is to apply Search Engine Optimization. If you are thinking twice‚ then you have to be aware of how it can unlock the full potential of your business. Lots of companies have already applied this including the ones that
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Rivermore College This is a mean-variance optimization case. Software needs: Spreadsheet optimizer (Excel Solver) or use a commercial package. Concepts: performance evaluation with historical data‚ forecasting asset returns‚ portfolio choice with input uncertainty. Computer skills: development and/or use of a mean-variance optimizer Case Roberta Tyler consultants to several university investment offices around the country. She specializes in asset allocation studies. She has accumulated
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Operational Efficiency & Operational Optimization Sa – Situation Anlysis Pa – Problem Analysis Da – Decission Analysis Pa – Probabilty Analysis 1) Suppose that a peak harvest-season day involves 18‚000 barrels of berries‚ 70% of them wet harvested‚ arriving uniformly over a twelve-hour period from 7 a.m. to 7 p.m.‚ and process initiates as soon as the first truck arrives. a) At what time during the day‚ would the trucks start queuing up to upload? Answer:
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