Multi-objective evolutionary algorithms are used in a wide range
of fields to solve the issues of optimization, which require several
conflicting objectives to be considered together. Basic evolutionary
algorithm algorithms have several drawbacks,
such as lack of a
good criterion for termination, and lack of evidence of good
convergence. A multi-objective hybrid evolutionary algorithm is
often used to overcome these defects.
optimization
الأمثلة
الأمثلة متعددة الأهداف
الخوارزميات التطورية
الخوارزميات التطورية المتعددة الأهداف
الخوارزميات التطورية عديدة الأهداف
(Multi-Objective Optimization (MO
Evolutionary Algorithms
(Multi-Objective Evolutionary Algorithms (MOEAs
(Many-Objective Evolutionary Algorithms (MaOEAs
المزيد..