The green vehicle routing problem (GVRP) has been a prominent topic in the literature on
logistics and transportation, leading to extensive research and previous review studies …

Swarm intelligence optimization methods have steadily gained popularity as a solution to
multi-objective optimization issues in recent years. Their study has garnered a lot of attention …

Many real-world multiple-objective optimization problems have objectives that change over
time. These multiple-objective optimization problems are called dynamic multiple-objective …

Focusing on practical engineering applications, this study introduces the Multi-Objective
Resistance-Capacitance Optimization Algorithm (MORCOA), a new approach for multi …

Unmanned aerial vehicles (UAVs) can be utilized as relay platforms to assist maritime
wireless communications. However, complex channels and multipath effects at sea can …

From a general review, most petrophysical models applied for the conventional logging
interpretation imply that porosity, permeability, or water saturation mathematically have a …

In any metaheuristic, the parameter values strongly affect the efficiency of an algorithm's
search. This research aims to find the optimal parameter values for the Pareto Ant Colony …

Ensuring accurate characterization of petroleum-bearing reservoirs is fundamental for
successful exploration of hydrocarbon resources. Petrophysical models have been …

The global/local analysis allows to embed a specific local zone of interest with a different
behaviour in a global coarse model. In this local model, fine meshes are usually used to …

This study addresses the significant problem of Dynamic Economic Emission Dispatch
(DEED), a critical consideration in power systems from both economic and environmental …