As an effective soft computing method, fuzzy cognitive maps (FCMs) have been successfully
utilized to process time series prediction problems. However, FCM-based time series …

Recently, by taking advantage of evolutionary multiobjective optimization techniques in
diversity preservation, the means of multiobjectivization has attracted increasing interest in …

Multimodal optimization problems (MMOPs) are common in real-world applications and
involve identifying multiple optimal solutions for decision makers to choose from. The core …

The objective of dynamic multimodal optimization problems (DMMOPs) is to find all global
optima in a dynamic environment. Although dynamic optimization problems (DOPs) have …

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 …

In procedural content generation, one is often interested in generating a large number of
artifacts that are not only of high quality but also diverse, in terms of gameplay, visual …

Video games demand is constantly increasing, which requires the costly production of large
amounts of content. Towards this challenge, researchers have developed Search-Based …

Nearest-Better Clustering (NBC) is an emergent niching technique in Swarm and
Evolutionary Computation for optimization, which does not need to fix the number or radius …

In this paper, we concentrate on the problem of finding the viewpoint that best satisfies a set
of visual composition properties, often referred to as Virtual Camera or Viewpoint …

Practical optimization problems are often too complex to be formulated exactly. Knowing
multiple good alternatives can help decision-makers easily switch solutions when needed …