A review and evaluation of multi and many-objective optimization: Methods and algorithms

Most optimization problems naturally have several objectives, usually in conflict with each other. The two or three objective functions are referred to as Multi-Objective Problems (MOP). However, many real-world applications often involve four more which commonly recognized many-objective (MaOP). Multi and algorithms a great application engineering science. This study addresses complete updated review of the literature for multi discusses 32 important detail. Afterward, ZDT DLTZ benchmark multi-objective test reviewed. All methods been studied under recent state-of-the-art quality measures. Moreover, we discuss historical roots optimization, motivation use evolutionary algorithms, most popular techniques currently use.