Ayman Abdelghaffar Rashad Mohamed Elkasaby <br/><br/>
Enhancing multi-objective optimization using genetic programming /  
 تعزيزالأمثلية المتعددة الاهداف باستخدام البرمجة الجينية 
Ayman Abdelghaffar Rashad Mohamed Elkasaby ; Supervised Akram Ibrahim Salah 
 - Cairo :   Ayman Abdelghaffar Rashad Mohamed Elkasaby ,   2017 
 - 87 Leaves :   charts ;   30cm 
<br/><br/>Thesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Computer Science  
<br/><br/> Successful two-objective optimizers are not suitable for problems with more than three objectives, where selection pressure towards the Pareto front deteriorates, leading to most solutions becoming non-dominated to each other, making selection very difficult. In this paper, epsilon dominance is combined with genetic programming to solve a many-objective optimization problem for the first time. Results show this combination is promising 
<br/><br/>
<br/><br/><label>Subjects--Index Terms: </label>Epsilon Dominance  Genetic Programming Multiobjective Optimization