Previous researchers have made impressive strides in develo** algorithms and solution
methodologies to address multi-objective optimization (MOO) problems in industrial …

Interactive Machine Learning (IML) seeks to complement human perception and intelligence
by tightly integrating these strengths with the computational power and speed of computers …

This open access book provides a wealth of hands-on examples that illustrate how
hyperparameter tuning can be applied in practice and gives deep insights into the working …

Optimal land use allocation with the intention of ecosystem services provision and
biodiversity conservation is one of the key challenges in agricultural management …

The graphical user interface (GUI) has become the prime means for interacting with
computing systems. It leverages human perceptual and motor capabilities for elementary …

Interactive multiobjective optimization (IMO) aims at finding the most preferred solution of a
decision maker with the guidance of his/her preferences which are provided progressively …

In the effort to rapidly transform the way we use energy, valuable minerals are coming
increasingly into high demand. Various metals, such as copper and cobalt, are required to …

The design of efficient energy systems, through the development of new technologies and
the improvement of current ones, requires the use of rigorous process synthesis methods for …

In recent years, new types of interactive analytical dashboard features have emerged for
operational decision support systems (DSS). Analytical components of such features solve …

This research introduces a novel multi-objective adaptation of the Geometric Mean
Optimizer (GMO), termed the Multi-Objective Geometric Mean Optimizer (MOGMO). MOGMO …