37 resultados para Pareto Frontier
Resumo:
Volumes of interest were published between 1812 and 1815 with articles about the War of 1812. Issue for July 12, 1813 includes an account of the capture of the Chesapeake, report of explosion of the schooner Eagle off New London, report Com. Hardy had detained a smack, was determined to destroy all smacks and other small craft he found, reports of recent events at Malden, Fort George, head of the Lake, Sacketts Harbour, two reports of attack on Hampton, report of British attack near point of Nansemond River/Craney Island, second report of battle on/near Craney Island, additional report of attack at Hampton, marine news from Baltimore, report that sickness rampant throughout Army, many deaths reported, report that British were fortifying Brownstown, but deserters from British believe Michigan could be retaken by 3000 troops, report Gen. Boyd remained at Fort George to supervise repair of fortifications, report British reinforced from Kingston in Niagara and in Malden, report Gen. Hampton arrived at Albany on way to Burlington, report Gen. Parker left Albany, headed to Burlington, report of 400 men marching from Greenbush to the frontier, report of battles at Stoney Creek, 40 Mile Creek, report that Gen. Boyd lost an action with British in which 8 to 10 hundred men killed and taken from Americans, reports British had captured stores at Black Rock, Sodus, and Oswego, report of British victory in a battle 5 miles from Queenston, troop strength under Dearborn in Niagara reported between 2 and 3 thousand, additional reports of Battle of Beaverdams, reports Dearborn had resumed command, after lengthy illness, Gen. Boyd remained at Fort George, reports natives had been sieging Fort Wayne.
Resumo:
Hub Location Problems play vital economic roles in transportation and telecommunication networks where goods or people must be efficiently transferred from an origin to a destination point whilst direct origin-destination links are impractical. This work investigates the single allocation hub location problem, and proposes a genetic algorithm (GA) approach for it. The effectiveness of using a single-objective criterion measure for the problem is first explored. Next, a multi-objective GA employing various fitness evaluation strategies such as Pareto ranking, sum of ranks, and weighted sum strategies is presented. The effectiveness of the multi-objective GA is shown by comparison with an Integer Programming strategy, the only other multi-objective approach found in the literature for this problem. Lastly, two new crossover operators are proposed and an empirical study is done using small to large problem instances of the Civil Aeronautics Board (CAB) and Australian Post (AP) data sets.
Resumo:
Colin Duquemin was born in 1932 in Guernsey, British Channel Islands, and came to Canada as a young adult. He attended McMaster University (B.A.), the University of Toronto (B.Ed.), the State University of New York at Buffalo (M.A.) and the University of London, London, England (M.Sc.). He began his career as a tea taster and tea buyer in Colombo, Ceylon (Sri Lanka), but later became a teacher. He spent most of his teaching career as a manager of the St. Johns Outdoor Studies Centre, north of Fonthill, Ontario, developing environmentally related programmes for elementary and secondary school students. He was also active in many local organizations, serving as Associate Director of the St. Catharines Grape and Wine Festival Board, Chairman of the St. Catharines Historical Museum Board, President of the Niagara Military Institute and President of the Canadian Canal Society. In addition to the numerous curriculum materials he authored, Colin wrote the Driver’s Guide Series, highlighting the many points of interest in the Niagara region, including the Welland Canal, battlefields of the War of 1812, and the Niagara Parkway. He also wrote A Guide to the Grand River Canal (1980) with Daniel Glenney, The Fur Trade in Rupert’s Land: Opening up the Canadian Northwest (1992), Stick to the Guns! A short history of the 10th field battery, Royal Regiment of Canadian Artillery (1996), Niagara Rebels: the Niagara Frontier Incidents in the Upper Canada Rebellion, 1837-1838 ( 2001), and edited and contributed to A Lodge of Friendship: the History of Niagara Lodge, No. 2, A.F. & A.M, Niagara-on-the-Lake, Ontario, Canada, 1792-1992 (1991). He died in December 2012.
Resumo:
"The following true and remarkable story is taken from the Christian advocate, a respectable paper published by the Methodist Connexion, in the city of New-York."--Preface, t.p. verso. The Christian advocate was first published in 1826. See ULS. Caption title: Paul Gasford. In printed wrapper. "Advice from a bee."--poem, p. [16]. "English classics, for sale by M. Day, 374 Pearl-st."--p. [4] of wrapper.
Resumo:
The King’s Royal Regiment of New York was a Loyalist regiment that served on the Canadian frontier during the American Revolutionary War. The regiment was commanded by Sir John Johnson, who recruited members from the settlers on his estates in the Mohawk Valley. After the War, the two battalions of the regiment were disbanded. The First Battalion settled on the north shore of the St. Lawrence, while the Second Battalion settled by the Bay of Quinte.
Resumo:
Letter outlining the firsthand account of the Battle of Queenston Heights describing the day that General Brock was killed [a copy of this letter (taken from Mr. Thorburn’s files) has been published in the book The Story of Laura Secord and Canadian Reminiscences by Emma A. Currie and it is also printed in History of the Campaign upon the Niagara Frontier in the year 1812 by Lieutenant Colonel E. Cruikshank] (7 handwritten pages) written by W. Woodruff and addressed to David Therburn [Thorburn] of Queenston. There are 3 handwritten copies of this account. A transcript of this letter has been included in the file, July 29, 1840.
Resumo:
Many real-world optimization problems contain multiple (often conflicting) goals to be optimized concurrently, commonly referred to as multi-objective problems (MOPs). Over the past few decades, a plethora of multi-objective algorithms have been proposed, often tested on MOPs possessing two or three objectives. Unfortunately, when tasked with solving MOPs with four or more objectives, referred to as many-objective problems (MaOPs), a large majority of optimizers experience significant performance degradation. The downfall of these optimizers is that simultaneously maintaining a well-spread set of solutions along with appropriate selection pressure to converge becomes difficult as the number of objectives increase. This difficulty is further compounded for large-scale MaOPs, i.e., MaOPs possessing large amounts of decision variables. In this thesis, we explore the challenges of many-objective optimization and propose three new promising algorithms designed to efficiently solve MaOPs. Experimental results demonstrate the proposed optimizers to perform very well, often outperforming state-of-the-art many-objective algorithms.