Results 91 to 100 of about 644,441 (293)

A Computational Study of Genetic Crossover Operators for Multi-Objective Vehicle Routing Problem with Soft Time Windows [PDF]

, 2008
The article describes an investigation of the effectiveness of genetic algorithms for multi-objective combinatorial optimization (MOCO) by presenting an application for the vehicle routing problem with soft time windows.
Geiger, Martin Josef
core   +1 more source

Reevaluating the Activity of ZIF‐8 Based FeNCs for Electrochemical Ammonia Production

Advanced Functional Materials, EarlyView.
Though receiving much attention, the field of electrochemical nitrogen reduction reaction (eNRR) to ammonia is marked by doubts about whether this reaction is possible in aqueous media. This work sheds light on this question for iron single‐atom on N‐doped carbon (FeNC) catalysts—a class of well‐known catalysts that is also worth testing for the sister
Caroline Schneider, S. Esmael Balaghi, Niklas Ortlieb, Patrick Elsaesser, Sima Heidari, Christopher S. Allen, Anna Fischer   +6 more
wiley   +1 more source

Multi-Objective Optimization for Power Efficient Full-Duplex Wireless Communication Systems

, 2015
In this paper, we investigate power efficient resource allocation algorithm design for multiuser wireless communication systems employing a full-duplex (FD) radio base station for serving multiple half-duplex (HD) downlink and uplink users simultaneously.
Ng, Derrick Wing Kwan, Schober, Robert, Sun, Yan   +2 more
core   +1 more source

Smart, Bio‐Inspired Polymers and Bio‐Based Molecules Modified by Zwitterionic Motifs to Design Next‐Generation Materials for Medical Applications

Advanced Functional Materials, EarlyView.
Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz, Jonas De Breuck, Sahar Salehi, Meike N. Leiske   +3 more
wiley   +1 more source

On the use of reference points for the biobjective Inventory Routing Problem [PDF]

, 2011
The article presents a study on the biobjective inventory routing problem. Contrary to most previous research, the problem is treated as a true multi-objective optimization problem, with the goal of identifying Pareto-optimal solutions.
Geiger, Martin Josef, Sevaux, Marc
core   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Joint optimization of spectrum and energy efficiency in cognitive radio networks

Digital Communications and Networks, 2015
In this paper, we discuss the joint improvement of the energy efficiency (EE) and the spectrum efficiency (SE) in OFDM-based cognitive radio (CR) networks.
Shaowei Wang, Chonggang Wang
doaj   +1 more source

A Smart Bio‐Battery Facilitates Diabetic Bone Defect Repair Via Inducing Macrophage Reprogramming and Synergistically Modulating Bone Remodeling Coupling

Advanced Functional Materials, EarlyView.
This research presents a novel implantable bio‐battery, GF‐OsG, tailored for diabetic bone repair. GF‐OsG generates microcurrents in high‐glucose conditions to enhance vascularization, shift macrophages to the M2 phenotype, and regulate immune responses.
Nanning Lv, Haifu Sun, Wenxiang Tang, Yonggang Li, Zhonglai Qian, Lihui Hong, Chong Chen, Hongye Li, Jiaxiang Bai, Yusen Qiao, Mingming Liu   +10 more
wiley   +1 more source

A multi-objective fuzzy optimization model for multi-type aircraft flight scheduling problem

Transport
This study proposes a multi-objective optimization model for an Aircraft Flight Scheduling Problem (AFSP) for assigning a set of aircraft located at different airports to conduct all flight trips.
Ming Wei, Shangwen Yang, Wei Wu, Bo Sun
doaj   +1 more source

Sub-problem Effectiveness Guided Multi-objective Evolution Algorithm [PDF]

Jisuanji kexue
In order to solve the problems of poor performance and low universality in solving MOPs with unconventional PF based on decomposed multi-objective evolutionary algorithms,a new Multi-Objective Evolution Algorithm based on Decomposition and Sub-problem ...
SUN Liangxu, LI Linlin, LIU Guoli
doaj   +1 more source