Wireless mesh networks design—A survey
D Benyamina, A Hafid… - … surveys & tutorials, 2011 - ieeexplore.ieee.org
With the advances in wireless technologies and the explosive growth of the Internet,
wireless networks, especially Wireless Mesh Networks (WMNs), are going through an …
wireless networks, especially Wireless Mesh Networks (WMNs), are going through an …
A survey of recent trends in multiobjective optimal control—surrogate models, feedback control and objective reduction
Multiobjective optimization plays an increasingly important role in modern applications,
where several criteria are often of equal importance. The task in multiobjective optimization …
where several criteria are often of equal importance. The task in multiobjective optimization …
Chimera: enabling hierarchy based multi-objective optimization for self-driving laboratories
Finding the ideal conditions satisfying multiple pre-defined targets simultaneously is a
challenging decision-making process, which impacts science, engineering, and economics …
challenging decision-making process, which impacts science, engineering, and economics …
A collaborative neurodynamic approach to multiple-objective distributed optimization
This paper is concerned with multiple-objective distributed optimization. Based on objective
weighting and decision space decomposition, a collaborative neurodynamic approach to …
weighting and decision space decomposition, a collaborative neurodynamic approach to …
A research survey: heuristic approaches for solving multi objective flexible job shop problems
Flexible job shop scheduling problem is a relaxation of the job shop scheduling problem
and is one of the well-known combinatorial optimization problems that has wide applications …
and is one of the well-known combinatorial optimization problems that has wide applications …
Algorithms for generating pareto fronts of multi-objective integer and mixed-integer programming problems
Multi-objective integer or mixed-integer programming problems typically have disconnected
feasible domains, making the task of constructing an approximation of the Pareto front …
feasible domains, making the task of constructing an approximation of the Pareto front …
An iterative solution approach to a multi-objective facility location problem
This work presents a novel methodology for solving multi-objective facility location problems
(mo-FLPs) with the focus on public emergency service stations. Our study is one of a few …
(mo-FLPs) with the focus on public emergency service stations. Our study is one of a few …
An exploratory approach for adaptive policymaking by using multi-objective robust optimization
Develo** robust policies for complex systems is a profound challenge because of their
nonlinear and unpredictable nature. Dealing with these characteristics requires innovative …
nonlinear and unpredictable nature. Dealing with these characteristics requires innovative …
Insights from an updated personnel selection meta-analytic matrix: Revisiting general mental ability tests' role in the validity–diversity trade-off.
General mental ability (GMA) tests have long been at the heart of the validity–diversity trade-
off, with conventional wisdom being that reducing their weight in personnel selection can …
off, with conventional wisdom being that reducing their weight in personnel selection can …
A review on machine learning-guided design of energy materials
The development and design of energy materials are essential for improving the efficiency,
sustainability, and durability of energy systems to address climate change issues. However …
sustainability, and durability of energy systems to address climate change issues. However …