This article proposes an end-to-end framework for solving multiobjective optimization problems
(MOPs) using deep reinforcement learning (DRL), that we call DRL-based multiobjective …

Black phosphorus, famous as two-dimensional (2D) materials, shows such excellent properties
for optoelectronic devices such as tunable direct band gap, extremely high hole mobility (…

With the increasing attention paid to many-objective optimization in the evolutionary multi-objective
optimization community, various approaches have been proposed to solve many-…

The integration of solar energies into power grid requires accurate prediction of solar power.
While most previous literature is focused on how to improve the accuracy of point forecast, …

The interest in steam reforming process as an efficient method for hydrogen production has
been greatly increasing, due to its efficiency during hydrogen production and low …

Background: Robot-assisted radical cystectomy (RARC) is increasingly being used in the
management of bladder cancer. Studies comparing RARC and open radical cystectomy (ORC) …

Applying unmanned aerial vehicles (UAVs) in military reconnaissance missions arises in
recent years. It refers to using finite UAVs to reconnoiter some enemy targets with limited …

Natural materials teach that mechanical dissipative interactions relieve the conflict between
strength and toughness and enable fabrication of strong yet tough artificial materials. …

This article introduces a new deep learning approach to approximately solve the covering
salesman problem (CSP). In this approach, given the city locations of a CSP as input, a deep …

Objective To compare extended pelvic lymph node dissection ( ePLND ) with non‐extended
pelvic lymph node dissection (non‐ ePLND ) and assess their influence on recurrence‐free …