Optimization techniques research papers

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Optimization techniques research papers

History[ edit ] In the decades after the two world wars, the tools of operations research were more widely applied to problems in business, industry and society. Since that time, operational research has expanded into a field widely used in industries ranging from petrochemicals to airlines, finance, logistics, and government, moving to a focus on the development of mathematical models that can be used to analyse and optimize complex systems, and has become an area of active academic and industrial research.

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Others in the 18th and 19th centuries solved these types of problems with combinatorics. Charles Babbage 's research into the cost of transportation and sorting of mail led to England's universal "Penny Post" inand studies into the dynamical behaviour of railway vehicles in defence of the GWR 's broad gauge.

Operational research may have originated in the efforts of military planners during World War I convoy theory and Lanchester's laws. Percy Bridgman brought operational research to bear on problems in physics in the s and would later attempt to extend these to the social sciences.

Rowe conceived the idea as a means to analyse and improve the working of the UK's early warning radar system, Chain Home CH. Initially, he analysed the operating of the radar equipment and its communication networks, expanding later to include the operating personnel's behaviour.

This revealed unappreciated limitations of the CH network and allowed remedial action to be taken.

Optimization techniques research papers

In the World War II era, operational research was defined as "a scientific method of providing executive departments with a quantitative basis for decisions regarding the operations under their control".

About operational research scientists worked for the British Army.

Wireless Sensor

Early in the war while working for the Royal Aircraft Establishment RAE he set up a team known as the "Circus" which helped to reduce the number of anti-aircraft artillery rounds needed to shoot down an enemy aircraft from an average of over 20, at the start of the Battle of Britain to 4, in Britain introduced the convoy system to reduce shipping losses, but while the principle of using warships to accompany merchant ships was generally accepted, it was unclear whether it was better for convoys to be small or large.

Convoys travel at the speed of the slowest member, so small convoys can travel faster. It was also argued that small convoys would be harder for German U-boats to detect.

On the other hand, large convoys could deploy more warships against an attacker. Blackett's staff showed that the losses suffered by convoys depended largely on the number of escort vessels present, rather than the size of the convoy.

Their conclusion was that a few large convoys are more defensible than many small ones. As most of them were from Bomber Command they were painted black for night-time operations. At the suggestion of CC-ORS a test was run to see if that was the best colour to camouflage the aircraft for daytime operations in the grey North Atlantic skies.

Optimization techniques research papers

Other work by the CC-ORS indicated that on average if the trigger depth of aerial-delivered depth charges DCs were changed from feet to 25 feet, the kill ratios would go up. The reason was that if a U-boat saw an aircraft only shortly before it arrived over the target then at feet the charges would do no damage because the U-boat wouldn't have had time to descend as far as feetand if it saw the aircraft a long way from the target it had time to alter course under water so the chances of it being within the foot kill zone of the charges was small.

It was more efficient to attack those submarines close to the surface when the targets' locations were better known than to attempt their destruction at greater depths when their positions could only be guessed. Blackett observed "there can be few cases where such a great operational gain had been obtained by such a small and simple change of tactics".

All damage inflicted by German air defences was noted and the recommendation was given that armour be added in the most heavily damaged areas. This recommendation was not adopted because the fact that the aircraft returned with these areas damaged indicated these areas were not vital, and adding armour to non-vital areas where damage is acceptable negatively affects aircraft performance.

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Their suggestion to remove some of the crew so that an aircraft loss would result in fewer personnel losses, was also rejected by RAF command. Blackett's team made the logical recommendation that the armour be placed in the areas which were completely untouched by damage in the bombers which returned.

They reasoned that the survey was biased, since it only included aircraft that returned to Britain. The untouched areas of returning aircraft were probably vital areas, which, if hit, would result in the loss of the aircraft.

When Germany organised its air defences into the Kammhuber Lineit was realised by the British that if the RAF bombers were to fly in a bomber stream they could overwhelm the night fighters who flew in individual cells directed to their targets by ground controllers.Professional services white papers and research to help you with best practice execution in resource management, project management, professional services .

Optimization Techniques (Computer Science) Research Papers - alphabetnyc.com

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Practical Optimization Using Evolutionary Methods Kalyanmoy Deb Kanpur Genetic Algorithms Laboratory (KanGAL) based on natural evolutionary techniques, are increasingly found to be useful in meeting the challenges. These methods are population based, enjoyed a good 50 years of research and applica-tions and are still going strong.

The accepted papers are categorized into 3 categories: Optimization Techniques for Resource Allocation in Wireless Systems, Optimization Techniques for Beamforming and Precoding in Wireless Systems, and Optimization Techniques for Scheduling in Wireless Systems.

Papers with Code highlights trending ML research and the code to implement it. View Optimization techniques Research Papers on alphabetnyc.com for free. Requests for Research It's easy to get started in deep learning, with many resources to learn the latest techniques. But it's harder to know what problems are worth working on. We're publishing a living collection of important and fun problems to help new people enter the field, and for enthusiastic practitioners to hone their skills.

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Global Journal of Technology and Optimization- Open Access Journals