Results 61 to 70 of about 1,067 (175)
Memetic Phase Retrieval and HPC for the Imaging of Matter at Atomic Resolution
, 2018 Memetic Algorithms represent one of the most promising implementation of Evolutionary Algorithms. Their strength resides in the ability to exploit stochastic and deterministic optimization methods at the same time. A Memetic Algorithm has been applied to
A. Colombo, D. E. Galli, L. De Caro
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Applied AI Letters, Volume 7, Issue 1, February 2026.Workflow of the proposed hybrid BWO‐Transformer framework for stock price prediction. ABSTRACT Accurately predicting stock prices remains a major challenge in financial analytics due to the complexity and noise inherent in market data. Feature selection plays a critical role in improving both computational efficiency and predictive performance. In this
Amirhossein Malakouti Semnani +3 more
wiley +1 more source
Novel Memetic Computing Structures for Continuous Optimisation [PDF]
, 2014 This thesis studies a class of optimisation algorithms, namely Memetic Computing Structures, and proposes a novel set of promising algorithms that move the first step towards an implementation for the automatic generation of optimisation algorithms for ...
Caraffini, Fabio
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PSO advances and application to inverse problems
, 2010 First International Conference on Swarm, Evolutionary, and Memetic Computing, SEMCCO 2010 (1st. 2010. Chennai, India)SRM University Administration;SRM University;Department of Science and Technology (DST);Government of ...
García Gonzalo, María Esperanza +1 more
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Bioorthogonal Chemistry in Biomolecule Quantification: A Review of Reactions and Strategies
Chemistry – A European Journal, Volume 32, Issue 1, 2 January 2026.This review summarizes the application of catalyst‐free bioorthogonal reactions: Staudinger ligation, strain promoted azide alkyne cycloaddition, inverse electron‐demand Diels–Alder, and 2‐cyanobenzothiazole cysteine condensation in the semi‐quantitative and quantitative analysis of biomolecules.
Mingze Yang, Shiqi Wang
wiley +1 more source
Universal Acid in the Computer Chip: Music, Memetics and Metacreation
, 2022 Universal Darwinism (UD) (Plotkin, 1995) holds that the "evolutionary algorithm" (Dennett, 1995, pp. 50–52) operates across the interconnected realms of a "recursive ontology" (Velardo, 2016) that binds together all that exists. Indeed, UD maintains that all phenomena in the universe are emergent properties of Darwinian processes of variation ...
openaire +3 more sources
Water Resources Research, Volume 62, Issue 1, January 2026.Abstract Machine learning models are highly potential to substitute computationally intensive numerical simulation models in saltwater intrusion (SWI) remediation optimization. However, uncertainty inherent in machine learning models can propagate through predictions into optimization, resulting in inaccurate solutions.
Yulu Huang, Jina Yin, Chunhui Lu
wiley +1 more source
On the analysis of the (1+1) memetic algorithm [PDF]
, 2006 Memetic algorithms are evolutionary algorithms incorporating local search to increase exploitation. This hybridization has been fruitful in countless applications. However, theory on memetic algorithms is still in its infancy.
Dirk Sudholt, Sudholt, Dirk
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IET Collaborative Intelligent Manufacturing, Volume 8, Issue 1, January/December 2026.This study addresses an integrated job shop scheduling problem with material handling robots, aiming to minimise the maximum completion time. Three meta‐heuristics, seven local search strategies and two reinforcement learning algorithms are proposed to solve the problems.
Qi Jia +3 more
wiley +1 more source
A niching memetic algorithm for simultaneous clustering and feature selection
, 2008 Clustering is inherently a difficult task, and is made even more difficult when the selection of relevant features is also an issue. In this paper we propose an approach for simultaneous clustering and feature selection using a niching memetic algorithm.
Liu, X, Sheng, W, Fairhurst, M
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