Results 91 to 100 of about 177,718 (299)

Choice experiments on land managers' participation in environmental programs: A systematic review and meta‐analysis of estimate validity

American Journal of Agricultural Economics, EarlyView.
Abstract Discrete choice experiments are increasingly being used to estimate land managers' willingness to accept participation in incentive‐based environmental programs. This is a specific application of discrete choice experiments: the estimation of willingness to accept for a private good (program participation) where respondents have to make trade ...
Anastasio J. Villanueva, Angel Perni, Jesus Barreiro‐Hurle   +2 more
wiley   +1 more source

Meta-heuristics and deep learning for energy applications: Review and open research challenges (2018–2023)

Energy Strategy Reviews
The synergy between deep learning and meta-heuristic algorithms presents a promising avenue for tackling the complexities of energy-related modeling and forecasting tasks.
Eghbal Hosseini, Abbas M. Al-Ghaili, Dler Hussein Kadir, Saraswathy Shamini Gunasekaran, Ali Najah Ahmed, Norziana Jamil, Muhammet Deveci, Rina Azlin Razali   +7 more
doaj   +1 more source

An efficient genetic algorithm for a hybrid flow shop scheduling problem with time lags and sequence-dependent setup time

Manufacturing Review, 2014
In this paper, a hybrid flow shop scheduling problem with a new approach considering time lags and sequence-dependent setup time in realistic situations is presented.
Farahmand-Mehr Mohammad, Fattahi Parviz, Kazemi Mohammad, Zarei Hassan, Piri Ali   +4 more
doaj   +1 more source

IHML: Incremental Heuristic Meta-Learner

Applied Artificial Intelligence
The landscape of machine learning constantly demands innovative approaches to enhance algorithms’ performance across diverse tasks. Meta-learning, known as “learning to learn” is a promising way to overcome these diversity challenges by blending multiple algorithms.
Onur Karadeli, Kiymet Kaya, Sule Gündüz Ögüdücü   +2 more
openaire   +3 more sources

Short‐Term Scheduling Optimization of a Single‐Pipeline Refining System With High Melting Point Crude Oil

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT In order to reflect the actual production situation more comprehensively and optimize the production cost, this paper solves the short‐term scheduling optimization problem for a single pipeline containing high melting point crude oil. Based on the refining plan given by the upper layer, a multi‐objective optimization model with high melting ...
Jing Yao, Xianxin Liu, Zhen Pan, Chengming Hao, Xiangwei Xu, Wei Jia   +5 more
wiley   +1 more source

Solving Energy-Aware Real-Time Tasks Scheduling Problem with Shuffled Frog Leaping Algorithm on Heterogeneous Platforms

Sensors, 2015
Reducing energy consumption is becoming very important in order to keep battery life and lower overall operational costs for heterogeneous real-time multiprocessor systems. In this paper, we first formulate this as a combinatorial optimization problem.
Weizhe Zhang, Enci Bai, Hui He, Albert M.K. Cheng   +3 more
doaj   +1 more source

A hybrid scatter search. Electromagnetism meta-heuristic for project scheduling. [PDF]

In the last few decades, several effective algorithms for solving the resource-constrained project scheduling problem have been proposed. However, the challenging nature of this problem, summarised in its strongly NP-hard status, restricts the ...
De Reyck, B, Debels, D, Leus, Roel, Vanhoucke, M   +3 more
core  

Data, not documents: Moving beyond theories of information‐seeking behavior to advance data discovery

Journal of the Association for Information Science and Technology, Volume 76, Issue 4, Page 649-664, April 2025.
Abstract Many theories of human information behavior (HIB) assume that information objects are in text document format. This paper argues four important HIB theories are insufficient for describing users' search strategies for data because of assumptions about the attributes of objects that users seek.
Anthony J. Million, Jeremy York, Sara Lafia, Libby Hemphill   +3 more
wiley   +1 more source

Context‐centric proactive information delivery for Knowledge Work support: Opportunities, challenges, and directions. An Annual Review of Information Science and Technology (ARIST)

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Context‐centric proactive information delivery (PID) is a relatively underexplored domain within recommender systems (RS) aimed at enhancing Knowledge Workers' productivity by proactively providing relevant information during digital tasks.
Mahta Bakhshizadeh, Christian Jilek, Markus Schröder, Heiko Maus, Andreas Dengel   +4 more
wiley   +1 more source

The Role of Microbiota Metabolites Propionic Acid, p‐Cresol, and 4‐Ethylphenyl Sulfate in Autism Susceptibility: A Systematic Review

Autism Research, EarlyView.
ABSTRACT The etiopathogenesis of Autism Spectrum Disorder (ASD) encompasses complex interactions between genetic and environmental risk factors. The high prevalence of gastrointestinal disorders in autistic individuals has propelled a growing interest in the possible involvement of gut dysbiosis in ASD pathogenesis.
Laura Sandoni, Lisa Asta, Nicole Giompaolo, Rinvil Renaldi, Alberto Amaretti, Maddalena Rossi, Antonio M. Persico   +6 more
wiley   +1 more source