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Now showing items 81-90 of 119
Optimization models in emergency logistics: A literature review
(
Elsevier
, 2012 , Article Review)
Optimization modeling has become a powerful tool to tackle emergency logistics problems since its first adoption in maritime disaster situations in the 1970s. Using techniques of content analysis, this paper reviews ...
Distributed Multi-Objective Resource Optimization for Mobile-Health Systems
(
Hamad bin Khalifa University Press (HBKU Press)
, 2016 , Conference Paper)
Mobile-health (m-health) systems leverage wireless and mobile communication technologies to promote new ways to acquire, process, transport, and secure the raw and processed medical data. M-health systems provide the ...
Metaheurestic algorithm based hybrid model for identification of building sale prices
(
Springer Science and Business Media Deutschland GmbH
, 2021 , Book chapter)
The overall cost of a building depends on several variables such as economical, project physical and financial variables. The CCB (construction cost of building) also depends on deviations of several indices which are not ...
DRL-HEMS: Deep Reinforcement Learning Agent for Demand Response in Home Energy Management Systems Considering Customers and Operators Perspectives
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
With the smart grid and smart homes development, different data are made available, providing a source for training algorithms, such as deep reinforcement learning (DRL), in smart grid applications. These algorithms allowed ...
Challenges And Practices Identification Via A Systematic Literature Review In The Adoption Of Green Cloud Computing: Client’s Side Approach
(
IEEE
, 2021 , Article)
Green cloud computing gains popularity over the last decade due to the extensive use of cloud computing. The trend towards cloud computing is spreading at a fast rate. Cloud computing providers extend their data centers ...
An iterative cyclic tri-strategy hybrid stochastic fractal with adaptive differential algorithm for global numerical optimization
(
Elsevier Inc.
, 2023 , Article)
Many real-life problems can be formulated as numerical optimization problems. Such problems pose a challenge for researchers when designing efficient techniques that are capable of finding the desired solution without ...
Cooling vest with optimized PCM arrangement targeting torso sensitive areas that trigger comfort when cooled for improving human comfort in hot conditions
(
Elsevier Ltd
, 2017 , Article)
The objective of this work is to optimize the arrangement of Phase Change Material (PCM) packets in a cooling vest by targeting torso segments that can trigger comfort when cooled. An integrated fabric-PCM and bio-heat ...
Automatic variable reduction
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
A variable reduction strategy (VRS) is an effective method to accelerate the optimization process of evolutionary algorithms (EAs) by simplifying the corresponding optimization problems. Unfortunately, the VRS is manually ...
An Enhanced Multi-Phase Stochastic Differential Evolution Framework for Numerical Optimization
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Conference Paper)
Real-life problems can be expressed as optimization problems. These problems pose a challenge for researchers to design efficient algorithms that are capable of finding optimal solutions with the least budget. Stochastic ...
Exact Analytical Magnetic Field Analysis, Optimization Design and Realization of an Eccentric Magnetic Harmonic Gear
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
The eccentric magnetic harmonic gear (EMHG) has a high efficiency and high gear ratio capability for large torque transmission. The air gap magnetic field can be calculated using an exact analytical model. The analytical ...