Results 101 to 110 of about 53,710 (343)
Observational Data-Driven Modeling and Optimization of Manufacturing Processes
, 2017 The dramatic increase of observational data across industries provides unparalleled opportunities for data-driven decision making and management, including the manufacturing industry.
Chinnam, Ratna Babu +2 more
core +1 more source
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 +6 more
wiley +1 more source
Applied SciencesMeta-heuristic algorithms are computational methods inspired by evolutionary processes, animal or plant behaviors, physical events, and other natural phenomena.
Mashar Cenk Gençal
doaj +1 more source
Form flows function: Learner‐centered game Re‐design in a STEM classroom
British Educational Research Journal, EarlyView.Abstract Re‐designing games facilitates interest‐driven learning and immerses learners in systems thinking. However, there are limited studies exploring how the form and function of tabletop games influence learners' design decisions and learning experiences. To address this gap, we conducted a mixed‐methods study in a STEM classroom in western Canada.
Farzan Baradaran Rahimi +2 more
wiley +1 more source
Choice Function-Based Hyper-Heuristics for Causal Discovery under Linear Structural Equation Models
BiomimeticsCausal discovery is central to human cognition, and learning directed acyclic graphs (DAGs) is its foundation. Recently, many nature-inspired meta-heuristic optimization algorithms have been proposed to serve as the basis for DAG learning.
Yinglong Dang +2 more
doaj +1 more source
IEEE Access, 2019 Meta-heuristic algorithm has been a research hotspot in solving the optimal solution of large-scale functions. However, meta-heuristic algorithms are prone to fall into local optimum problems, such as the recently proposed dolphin swarm algorithm (DSA ...
Weibiao Qiao, Zhe Yang
doaj +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT Widespread digital adoption has challenged our understanding of how these tools reshape collaboration, trust and sustainability outcomes across different institutional and network contexts. As networks now pursue resilience and sustainable development in parallel, we map emerging research directions and identify how collaboration and ...
Ari Carisza Graha Prasetia +1 more
wiley +1 more source
Advances in Civil EngineeringOptimization challenges effectively mirror numerous complex real-world problems. These are typically addressed using two methodologies: approximate methods and exact methods. Within the approximate category, meta-heuristic methods are prominent.
Saeedeh Ghaemifard, Amin Ghannadiasl
doaj +1 more source
A MCDM-Based Meta-Heuristic Approach for U-shaped Disassembly Line Balancing Problem
, 2021 Yifeng Wang +3 more
openalex +1 more source
Corporate Environmental Responsibility and Cost of Equity Capital: A Meta‐Analytical Review
Business Strategy and the Environment, EarlyView.ABSTRACT Despite extensive research on the relationship between corporate environmental responsibility (CER) and cost of equity capital (COEC), empirical evidence remains inconsistent. This study addresses these inconsistencies through a comprehensive meta‐analysis of 1139 effect sizes from 75 studies.
Robert Witte +2 more
wiley +1 more source