Complex continuous optimization problems widely exist nowadays due to the fast
development of the economy and society. Moreover, the technologies like Internet of things …

Multimodal optimization problem (MMOP), which targets at searching for multiple optimal
solutions simultaneously, is one of the most challenging problems for optimization. There …

Multimodal optimization problems (MMOPs) include multiple optima, which are common in
practical fields. However, the success of solving MMOPs requires the algorithm to have both …

Multimodal optimization problems (MMOPs) require the algorithms to find multiple global or
local optima in a single run, which is considered a difficult task. In recent years, niching …

Niching is an important technique for multimodal optimization. Most existing niching
methods require specification of certain niching parameters in order to perform well. But …

Multi-modal optimization is an active research topic that has attracted increasing attention
from evolutionary computation community. Particle swarm optimization (PSO) with niching …

An expensive multimodal optimization problem (EMMOP) is that the computation of the
objective function is time consuming and it has multiple global optima. This article proposes …

Locating multiple optima and maintaining these identified solutions are two crucial issues in
solving multimodal optimization problems (MMOPs). To address these two challenges, an …

An algorithm is developed for multimodal design optimization of a V-shaped magnet interior
permanent magnet synchronous machine (IPMSM). This algorithm is capable of finding all …

To solve multimodal optimization problems (MMOPs), niching techniques play an important
role by enabling the optimization algorithm to locate as many solutions as possible …