The optimal location and sizing of distributed generation is a suitable option for improving
the operation of electric systems. This paper proposes a parallel implementation of the …

This article pursues the insight that language models naturally enable an intelligent variation
operator similar in spirit to evolutionary crossover. In particular, language models of …

The multiobjective unconstrained binary quadratic programming (mUBQP) is a
combinatorial optimization problem which is able to represent several multiobjective …

The concept of gray-box optimization, in juxtaposition to black-box optimization, revolves
about the idea of exploiting the problem structure to implement more efficient evolutionary …

For many real-world optimization problems it is possible to perform partial evaluations,
meaning that the impact of changing a few variables on a solution's fitness can be computed …

Abstract Model-based optimization using probabilistic modeling of the search space is one
of the areas where research on evolutionary algorithms (EAs) has considerably advanced in …

In this paper, a new estimation of distribution algorithm is introduced. The goal is to propose
a method that avoids complex approximations of learning a probabilistic graphical model …

The service chain planning process is a critical component in the operations of companies in
the service industry, such as logistics, telecoms or utilities. This process involves looking …

The continued drive to improve efficiency within the service operations sector is motivating
the development of more sophisticated service chain planning tools to aid in longer term …

Estimation of distribution algorithms (EDAs) are evolutionary algorithms that use
probabilistic modeling to lead a more efficient search for optimal solutions. While EDAs have …