In multiobjective optimization, the relationship between decision space and objective space
is generally assumed to be a one-to-one mapping, but it is not always the case. In some …

Abstract Multimodal Multi-objective Optimization Problems (MMOPs) refer to the problems
that have multiple Pareto-optimal solution sets in decision space corresponding to the same …

Multimodal multiobjective optimization problems, which widely exist in real-world
applications, have multiple Pareto optimal sets in decision space corresponding to the same …

Finding a good Pareto front (PF) approximation and locating sufficient equivalent Pareto
optimal solutions are two important goals of the multimodal multiobjective optimization …

Maintaining population diversity is an important task in the multimodal multi-objective
optimization. Although the zoning search (ZS) can improve the diversity in the decision …

In practical applications, solving multimodal multiobjective optimization problems (MMOPs),
which have multiple Pareto optimal sets (PSs) in the decision space mapping to the same …

Multi-modal multi-objective optimization problems (MMMOPs) have multiple subsets within
the Pareto-optimal Set, each independently mapping to the same Pareto-Front. Prevalent …

Minimizing the mass of a structure and maximizing its first natural frequency of vibration are
conflicting objectives of real interest in structural design. To avoid problems with resonance …

There are two major challenges when handling the multimodal multi-objective optimization
(MMO) problems. One is the loss of diversity since most of the evolutionary algorithms …

The allocation of educational resources is closely related to the efficiency, quality and
development of educational work, so in order to help find the best resource allocation …