Green infrastructure (GI) is a fundamental building block of our cities. It contributes to the
sustainability and vitality of cities by offering various benefits such as greening, cooling …

In recent decades, parallel computing has been increasingly applied to address the
computational challenges of calibrating watershed hydrologic models. The purpose of this …

In many optimization problems arising from scientific, engineering and artificial intelligence
applications, objective and constraint functions are available only as the output of a black …

In this paper, a multi-objective version of the recently proposed marine predator algorithm
(MPA) is presented, which is called the multi-objective marine predator algorithm (MOMPA) …

Abstract Dimensionality reduction or Feature Selection (FS) is a multi-target optimization
problem with two goals: improving the classification efficiency while simultaneously …

Early design decisions have a considerable influence on energy use and occupants' comfort
in buildings. Balancing these two design aspects is extremely important in educational …

Most of existing neural methods for multi-objective combinatorial optimization (MOCO)
problems solely rely on decomposition, which often leads to repetitive solutions for the …

Currently, one of the most popular research topics is the development of a new meta-
heuristic algorithm for solving multi-objective optimization problems. However, few of the …

With the development of economic globalization and sustainable manufacturing, energy-
aware scheduling of distributed manufacturing systems has become a research hot topic …

Business process simulation is a versatile technique to predict the impact of one or more
changes on the performance of a process. Process simulation is often used to identify sets of …