Knapsack problems—An overview of recent advances. Part II: Multiple, multidimensional, and quadratic knapsack problems
After the seminal books by Martello and Toth (1990) and Kellerer, Pferschy, and Pisinger
(2004), knapsack problems became a classical and rich research area in combinatorial …
(2004), knapsack problems became a classical and rich research area in combinatorial …
UAV-enabled secure communications via collaborative beamforming with imperfect eavesdropper information
Unmanned aerial vehicles (UAVs) are playing a pivotal role in wireless networks due to their
high mobility and on-demand deployment advantages. However, the UAV-enabled …
high mobility and on-demand deployment advantages. However, the UAV-enabled …
Multi-objective sparse synthesis optimization of concentric circular antenna array via hybrid evolutionary computation approach
Sparse synthesis can reduce the maximum sidelobe level (SLL) and overhead of the
concentric circular antenna array (CCAA) by switching off partial array elements. However …
concentric circular antenna array (CCAA) by switching off partial array elements. However …
Multi-Objective Aerial Collaborative Secure Communication Optimization Via Generative Diffusion Model-Enabled Deep Reinforcement Learning
Due to flexibility and low-cost, unmanned aerial vehicles (UAVs) are increasingly crucial for
enhancing coverage and functionality of wireless networks. However, incorporating UAVs …
enhancing coverage and functionality of wireless networks. However, incorporating UAVs …
A kinetic study of microalgae, municipal sludge and cedar wood co-pyrolysis
S Chakraborty, NT Dunford, C Goad - Renewable Energy, 2021 - Elsevier
In the present study, pyrolysis kinetics of the pure and blends of cedar wood (CW), algal
biomass (AB), and digested sludge (DS) with and without the catalyst ZSM–5 were …
biomass (AB), and digested sludge (DS) with and without the catalyst ZSM–5 were …
Bayesian I-optimal designs for choice experiments with mixtures
M Becerra, P Goos - Chemometrics and Intelligent Laboratory Systems, 2021 - Elsevier
Discrete choice experiments are frequently used to quantify consumer preferences by
having respondents choose between different alternatives. Choice experiments involving …
having respondents choose between different alternatives. Choice experiments involving …
Development of a D-optimal design-based 0–1 mixed-integer nonlinear robust parameter design optimization model for finding optimum design factor level settings
A Özdemir, M Turkoz - Computers & Industrial Engineering, 2020 - Elsevier
Abstract Information-based optimal experimental designs are effective offline quality
improvement tools that provide insights into the information under complex engineering …
improvement tools that provide insights into the information under complex engineering …
A joint optimization approach for distributed collaborative beamforming in mobile wireless sensor networks
S Liang, Z Fang, G Sun, Y Liu, G Qu, S Jayaprakasam… - Ad Hoc Networks, 2020 - Elsevier
The nodes in mobile wireless sensor networks (MWSNs) are usually with limited hardware
resources, which leads to the limitation of transmission range and energy. To extend the …
resources, which leads to the limitation of transmission range and energy. To extend the …
Reliable and Energy-efficient Communications via Collaborative Beamforming for UAV Networks
Unmanned aerial vehicles (UAVs) have been demonstrated to be a prominent component
for wireless communications. In this work, we consider an emergency communication …
for wireless communications. In this work, we consider an emergency communication …
Multi-objective uplink data transmission optimization for edge computing in UAV-assistant mobile wireless sensor networks
Unmanned aerial vehicles (UAVs) have attracted growing attention in enhancing the
performance of mobile wireless sensor networks (MWSNs) since they can act as aerial …
performance of mobile wireless sensor networks (MWSNs) since they can act as aerial …