Results 51 to 60 of about 52,555 (294)

A comparison of general-purpose optimization algorithms forfinding optimal approximate experimental designs [PDF]

, 2019
Several common general purpose optimization algorithms are compared for findingA- and D-optimal designs for different types of statistical models of varying complexity,including high dimensional models with five and more factors.
Garcia-Garcia, Jose Carlos, Garcia-Rodenas, Ricardo, Lopez-Fidalgo, Jesus, Martin-Baos, Jose Angel, Wong, Weng Kee   +4 more
core  

Fundamental Challenges, Physical Implementations, and Integration Strategies for Ising Machines in Large‐Scale Optimization Tasks

Advanced Electronic Materials, EarlyView.
Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley   +1 more source

FastCat: Autonomous Discovery of Multielement Layered Double Hydroxide Alloy Catalysts for Alkaline Oxygen Evolution Reaction

Advanced Intelligent Discovery, EarlyView.
A machine learning‐guided self‐driving laboratory screened over 500 nickel‐based layered double‐hydroxide catalysts for alkaline oxygen evolution. Out of the eight metals, the robot uncovered a quaternary Ni–Fe–Cr–Co catalysts requiring only 231 mV overpotential to reach 20 mA cm−2.
Nis Fisker‐Bødker, Enzo Raffaele Moretti, Jin Hyun Chang, Tejs Vegge   +3 more
wiley   +1 more source

A Review of Metaheuristic Techniques for Optimal Integration of Electrical Units in Distribution Networks

IEEE Access, 2021
The optimal integration of electrical units, such as distributed generation units, power electronic devices, and electric vehicles, is a significant development of smart grids.
Kayode E. Adetunji, Ivan W. Hofsajer, Adnan M. Abu-Mahfouz, Ling Cheng   +3 more
doaj   +1 more source

Implementing Metaheuristic Optimization Algorithms with JECoLi [PDF]

2009 Ninth International Conference on Intelligent Systems Design and Applications, 2009
This work proposes JECoLi - a novel Java-based library for the implementation of metaheuristic optimization algorithms with a focus on Genetic and Evolutionary Computation based methods. The library was developed based on the principles of flexibility, usability, adaptability, modularity, extensibility, transparency, scalability, robustness and ...
Pedro Evangelista, Paulo Maia, Miguel Rocha 0001   +2 more
openaire   +2 more sources

Iterated-greedy-based algorithms with beam search initialization for the permutation flowshop to minimize total tardiness [PDF]

, 2018
The permutation flow shop scheduling problem is one of the most studied operations research related problems. Literally, hundreds of exact and approximate algorithms have been proposed to optimise several objective functions. In this paper we address the
Fernández-Viagas Escudero, Víctor, Framiñán Torres, José Manuel, Valente, Jorge M.S.   +2 more
core   +1 more source

An Attention‐Assisted Machine Learning System for Deep Microorganism Image Classification

Advanced Intelligent Systems, EarlyView.
An attention‐assisted DenseNet201 framework was developed for the classification of eight microorganism classes from microscopic images. The proposed model improved classification performance and achieved an accuracy of 87.38%. Advances in microbiology and environmental health fundamentally depend on precise and timely microorganism identification ...
Yujie Li, Ailing Gao, Guoxu Liu, Chunlei Chen, Yonghui Zhang, Sunkyoung Kang, M. Khosravi   +6 more
wiley   +1 more source

Greedy Randomized Adaptive Search and Variable Neighbourhood Search for the minimum labelling spanning tree problem [PDF]

, 2009
This paper studies heuristics for the minimum labelling spanning tree (MLST) problem. The purpose is to find a spanning tree using edges that are as similar as possible.
Avis, Brüggemann, Cerulli, Chang, Demšar, Duin, Feo, Friedman, Glover, Goldberg, Hansen, Hansen, Hollander, Iman, J.A. Moreno Pérez, K. Darby-Dowman, Krumke, Mladenović, N. Mladenović, Resende, S. Consoli, Tanenbaum, Van-Nes, Voß, Voß, Wan, Xiong, Xiong, Xiong   +28 more
core   +1 more source

Analysis of Uncertainty Influence in the Design of Interval Type‐3 Fuzzy Controllers With Type‐3 Fuzzy Harmony Search: The Case of the Water Tank

AI &Innovation, EarlyView.
ABSTRACT Nonlinear control systems are an integral part of complex engineering systems. The main difference from linear systems is their ability to adapt to changes and unpredictable conditions. These systems exhibit behaviors that cannot be predicted by simple linear equations, making them essential for applications requiring precise control over a ...
Cinthia Peraza, Patricia Ochoa, Oscar Castillo, Patricia Melin   +3 more
wiley   +1 more source

Operations Research‐Based Formalisation and Design of Sustainable Reverse Logistics for E‐Waste Supply Chains

Business Strategy and the Environment, EarlyView.
ABSTRACT This study demonstrates how a profitable, lean, and environmentally responsible e‐waste reverse logistics system can be designed using integrated Operations Research (OR) techniques. Addressing the growing urgency of responsible consumption (UN SDG 12) and the projected rise of the e‐waste sector to USD 137.60 billion by 2029, the research ...
Sheeba Pathak, Hajar Fatorachian
wiley   +1 more source