Results 101 to 110 of about 4,503,508 (220)
Selective Opposition based Grey Wolf Optimization
, 2020 The use of metaheuristics is widespread for optimization in both scientific and industrial problems due to several reasons, including flexibility, simplicity, and robustness.
Sarkar, Ram +3 more
core +1 more source
A particle swarm optimization based memetic algorithm for dynamic optimization problems [PDF]
, 2010 Copyright @ Springer Science + Business Media B.V. 2010.Recently, there has been an increasing concern from the evolutionary computation community on dynamic optimization problems since many real-world optimization problems are dynamic.
Wang, H +11 more
core +1 more source
Applied Research, Volume 5, Issue 5, October 2026.Through a PRISMA‐guided review of 42 studies, this work compares deep learning, ensemble machine learning, and statistical/econometric models for long‐term energy demand forecasting, showing that model choice should balance accuracy, interpretability, data availability, and policy relevance.
Nor Afiza Mohd Noor +4 more
wiley +1 more source
Timber Wolf Optimization Algorithm for Real Power Loss Diminution [PDF]
, 2019 In this paper Timber Wolf optimization (TWO) algorithm is proposed to solve optimal reactive power problem. Timber Wolf optimization (TWO) algorithm is modeled based on the social hierarchy and hunting habits of Timber wolf towards finding prey.
Lenin, Kanagasabai, Kanagasabai Lenin
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Cancer Medicine, Volume 15, Issue 10, October 2026.ABSTRACT Spatial heterogeneity in the colorectal cancer (CRC) tumor microenvironment (TME) is closely related to stromal organization and may influence treatment‐related features. In this study, we integrated single‐cell RNA sequencing and spatial transcriptomic data from CRC tissues to examine cancer‐associated fibroblast (CAF)‐dominant spatial ...
Yuan‐jie Liu +5 more
wiley +1 more source
An island based hybrid evolutionary algorithm for optimization [PDF]
, 2008 This is a post-print version of the article - Copyright @ 2008 Springer-VerlagEvolutionary computation has become an important problem solving methodology among the set of search and optimization techniques. Recently, more and more different evolutionary
Yang, S +5 more
core +1 more source
A Critical Analysis of Optimization Algorithms for Cultural Heritage Conservation and Management
Engineering Reports, Volume 8, Issue 10, October 2026.Methodological framework and decision‐support roadmap for optimization algorithms in cultural heritage conservation and management. ABSTRACT Heritage buildings symbolize cultural identity, architectural character, and historical epitome of communities.
Eslam Mohammed Abdelkader +6 more
wiley +1 more source
Engineering Reports, Volume 8, Issue 10, October 2026.This graphical abstract provides a systematic bibliometric and thematic dissection of artificial intelligence applications for predicting pile load‐bearing capacity, synthesized from 135 rigorously selected studies published across the past three decades.
Mohammadreza Ahmadi Golsefidi +1 more
wiley +1 more source
A MOS-based Dynamic Memetic Differential Evolution Algorithm for Continuous Optimization: A Scalability Test [PDF]
, 2010 Continuous optimization is one of the areas with more activity in the field of heuristic optimization. Many algorithms have been proposed and compared on several benchmarks of functions, with different performance depending on the problems.
Antonio LaTorre +5 more
core +1 more source
Health Care Science, Volume 5, Issue 5, Page 514-531, October 2026.Autism spectrum disorder (ASD) is a complex neurodevelopmental condition characterized by persistent difficulties in social communication, social interaction, and repetitive behaviors. Early diagnosis is often hindered by subjective clinical assessments and limited data availability.
Sahar Alkhaibari, Feng Dong
wiley +1 more source