shafique-heuristicglobaloptimization
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shafique-heuristicglobaloptimization
Heuristic Global OptimizationbyMubashsharnl Islam Shafique. M.Sc.A dissertation submitted to theFaculty of Graduate and Postdoctoral Affairs in partia shafique-heuristicglobaloptimizational fulfillment of the requirements for the degree ofDoctor of Philosophy in Electrical EngineeringOttawa-Carleton Institute for Electrical and Computer Engineering Department of Systems and Computer Engineering Carleton University Ottawa. OntarioApril. 2017©CopyrightMubashsharul Islam Shafique, 2017 shafique-heuristicglobaloptimizationrhe undersigned hereby recommends to the Faculty of Graduate anil Postdoctoral Affairs acceptance of the dissertationHeuristic Global Optimizationsubmshafique-heuristicglobaloptimization
itted by Mubashsharul Islam Shafiquc. M.Sc.in partial fulfillment of the requirements for the degree ofDoctor of Philosophy in Electrical EngineeringPHeuristic Global OptimizationbyMubashsharnl Islam Shafique. M.Sc.A dissertation submitted to theFaculty of Graduate and Postdoctoral Affairs in partia shafique-heuristicglobaloptimizationent of Systems and Computer Engineering Carleton UniversityApril. 2017iiAbstractGlobal Optimization (CO) problems occur quite frequently in real-life applications, but arc very hard to solve. As a result there is an ever-growing demand to find effective, fast methods for solving GO problems. The goa shafique-heuristicglobaloptimizationl of this research is to develop algorithms that can quickly find good quality solutions to large scale noiiconvex GO problems, which are the hardestshafique-heuristicglobaloptimization
form of GO problems. This research develops a feist heuristic multistart algorithm for solving large-scale GO problems. The new heuristic algorithm. CHeuristic Global OptimizationbyMubashsharnl Islam Shafique. M.Sc.A dissertation submitted to theFaculty of Graduate and Postdoctoral Affairs in partia shafique-heuristicglobaloptimizationiable space using a variety of heuristics. The local phase launches local solvers from the most promising points found in the global phase. CCGO has been specifically designed to utilize the state-of-the-art hardware systems supporting concurrency in software execution. The components of the new heu shafique-heuristicglobaloptimizationristic algorithm have been thoroughly examined via a number of experiments. The performance of the new heuristic is then studied with respect to someshafique-heuristicglobaloptimization
state of the art complete and heuristic solver-s. Empirical results show that the ccco algorithm has an edge in runtime while offering competitive solHeuristic Global OptimizationbyMubashsharnl Islam Shafique. M.Sc.A dissertation submitted to theFaculty of Graduate and Postdoctoral Affairs in partia shafique-heuristicglobaloptimizationions that need a solution as quickly as possible can use CCGO to get one and (b) optimization solvers that want to capitalize oil an early incumbent solution can use CCGO or its approximate search feature within their workflow.iiiThis work is dedicated to:My parents, wit hout whom 1 could never be w shafique-heuristicglobaloptimizationho I am today, whose innumerable contributions surround my existenceMy amazing family, who has been a constant source of inspiration for me, who stoodshafique-heuristicglobaloptimization
beside me during all hardshipsMy siblings, who nourished me in all possible waysMy teachers, from kindergarten to university, who taught me, who wereHeuristic Global OptimizationbyMubashsharnl Islam Shafique. M.Sc.A dissertation submitted to theFaculty of Graduate and Postdoctoral Affairs in partia shafique-heuristicglobaloptimizationreator who has given me the opportunity to enjoy all bounties in this world. My sincere gratitude goes to all of my teachers, who have inspired me since my childhood and whose lessons have enriched my knowledge. This thesis would not have been possible without the guidance of my supervisor Professor shafique-heuristicglobaloptimization John w. Chinneck. 1 am deeply indebted to him. His motivations, suggestions, thoughts, and insights enlightened my heart and brought a success to thishafique-heuristicglobaloptimization
s thesis work. His cooperation and constructive feedback helped me a lot during my graduate study at Carleton University.1 acknowledge all scholarshipHeuristic Global OptimizationbyMubashsharnl Islam Shafique. M.Sc.A dissertation submitted to theFaculty of Graduate and Postdoctoral Affairs in partia shafique-heuristicglobaloptimizationthout these financial support it was imịMMỉsible for me to pay for my tuition and living expenses. It is my honor to thank all teachers and the administrative staffs at SCE Department, from whom I got lessons, advices, and cooperation.I am immensely indebted to my father, Dr. M. Abdul Wahhab and my shafique-heuristicglobaloptimizationmother, Monowara Begum, who have ever lasting impact in my life. Their cont ribut ions to my upbringing are unfathomable, and I owe a lot to them. 1 ashafique-heuristicglobaloptimization
lso deeply acknowledge the support and advice of my father-in-law Dr. Ridwan Ullah Shahidi, and my mother-in-law Shaheen Akhter during the most cruciaHeuristic Global OptimizationbyMubashsharnl Islam Shafique. M.Sc.A dissertation submitted to theFaculty of Graduate and Postdoctoral Affairs in partia shafique-heuristicglobaloptimizationut not the least, I am grateful to my superhero wife Sohaila Binte Rid wan, for her continuous ami unparalleled love, help and support; and to my daughter Samawi Mayameen for her little smiles that kept me alive through many tough days.v shafique-heuristicglobaloptimizationHeuristic Global OptimizationbyMubashsharnl Islam Shafique. M.Sc.A dissertation submitted to theFaculty of Graduate and Postdoctoral Affairs in partiaGọi ngay
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