摘要：This paper attempts to apply Big-Bang and Big-crunch (BB-BC) based evolutionary
algorithm to solve Multi-objective (M0) Optimization problem by vector optimization
approach. A reformulated version referred to as modified BB-BC (MBB-BC) is used to
overcome the deficiency of BB-BC. The crowding distance measure is included in the
proposed M0 algorithm to achieve the spread among obtained non-dominated solutions.
The Economic Environmental Dispatch (EED) objectives are minimized by vector
approach while maintaining equality and inequality constraints. The proposed algorithm
is tested for bench mark MO test functions of varying difficulty in converging to a true
Pareto front. As an application to optimal EED, an eleven buses and IEEE-30 bus
transmission utilities are considered. The convergence and spread metrics are used to
assess the extent of success. The best compromise solutions are reported using Fuzzy
decision making approach.
关键词：Vector optimization/simultaneous optimization; Non-Dominated sort;;
crowding distance; convergence metric ; spread metric; modified Big Bang -Big;
crunch(MBBBC)
