"Multi-Objective Evolutionary Algorithms"
كلية الهندسة والتكنولوجيادائــرة الهندسة الكهربائية وهندسة الحاسوبتتشرف بدعوتكم لحضور محاضرة عامة بعنوان:"Multi-Objective Evolutionary Algorithms"يقدمهاالدكتور عبد السلام الصيادوذلك يوم الثلاثاء الموافق 1 كانون الأول 2015، الساعة 2:00 بعد الظهر) مبنى منيب رشيد المصري Masri 204قاعة ( Abstract: Multi-Objective Optimization (MOO) is the discipline of finding optimal solutions according to multiple criteria that reflect the viewpoints of different stakeholders. Optimal solutions can be hard to find in complex decision spaces, which is where Evolutionary Algorithms (EAs) come to the rescue. EAs strive to find near-optimal solutions within a reasonable search budget, and recent adaptations of EAs to multi-objective has yielded many Multi-Objective Evolutionary Algorithms (MOEAs) to choose from. Biography: Dr. ABDULSALAM M. SAYYADDr. Abdel Salam Sayyad obtained his Bachelor's degree from Birzeit University in 1998 and his Master's degree from the University of Maryland in the United States in 2000. He worked as an electronic design engineer in the United States from 2000 to 2005. He then joined Birzeit University as a faculty member. In 2011, he left BZU to pursue his doctoral studies in Computer Engineering, which he finished in 2014 from West Virginia University. He then spent a semester as a Visiting Assistant Professor at St. Mary's College of Maryland before returning to BZU. His research interests are in Multi-Objective Optimization and Evolutionary Algorithms. أهلاً وسهلاً بجميع المهتمين