Results 61 to 70 of about 7,821 (233)
A guided search non-dominated sorting genetic algorithm for the multi-objective university course timetabling problem [PDF]
Copyright @ Springer-Verlag Berlin Heidelberg 2011.The university course timetabling problem is a typical combinatorial optimization problem. This paper tackles the multi-objective university course timetabling problem (MOUCTP) and proposes a guided ...
D. Datta +10 more
core +1 more source
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
ABSTRACT New ventures are expected to continuously add new jobs and managerial positions to meet the expanding demands of scaling. However, the rapid pace and inherent uncertainty of scaling often lead founders of new ventures to rely on heuristics when making these critical hiring and managerial appointment decisions.
Mohamed Genedy +3 more
wiley +1 more source
Efficient First‐Principles Inverse Design of Nanolasers
This article introduces a first‐principles inverse‐design framework for nanolasers that directly incorporates nonlinear lasing physics. By unifying steady‐state ab‐initio laser theory (SALT) with topology optimization, it reveals how spatial hole burning, gain saturation, and cavity‐emitter coupling shape laser performance, enabling efficient discovery
Beñat Martinez de Aguirre Jokisch +5 more
wiley +1 more source
Hyper-heuristics are aimed at providing a generalized solution to optimization problems rather than producing the best result for one or more problem instances.
Nelishia Pillay
doaj
A modified choice function hyper-heuristic controlling unary and binary operators [PDF]
Hyper-heuristics are a class of high-level search methodologies which operate on a search space of low-level heuristics or components, rather than on solutions directly.
Burke, Edmund K. +2 more
core +1 more source
Distributed hyper-heuristics for real parameter optimization [PDF]
Hyper-heuristics (HHs) are heuristics that work with an arbitrary set of search operators or algorithms and combine these algorithms adaptively to achieve a better performance than any of the original heuristics. While HHs lend themselves naturally for distributed deployment, relatively little attention has been paid so far on the design and evaluation
Biazzini, Marco +3 more
openaire +2 more sources
How to Conduct a Multi‐Domain Systematic (Literature) Review? Guidelines Using The Lotus Protocol
ABSTRACT Complex challenges increasingly demand multidisciplinary research across intersecting knowledge domains. However, existing systematic (literature) review protocols offer limited guidance and tend to confine scholars to single‐domain or single‐intersection reviews.
Bart J. A. van Bueren +6 more
wiley +1 more source
The university course timetable problem (UCTP) is typically a combinatorial optimization problem. Manually achieving a useful timetable requires many days of effort, and the results are still unsatisfactory. unsatisfactory. Various states of art methods (
Zahid Iqbal +3 more
doaj +1 more source
Dynamic Evolution and Transformative Trends in the Consumer Market: A Technology Paradox Perspective
ABSTRACT The consumer market is defined by tensions arising from the clash between technological advancement and consumer psychology. Current research lacks a unifying framework to explain these contradictions. Addressing this gap, we introduce a conceptual model based on technology paradox theory, which maps the dynamic process from antecedents ...
Chanaka Jayawardhena +3 more
wiley +1 more source

