Results 161 to 170 of about 1,200,755 (251)

An Energy‐Corrected Fast Post‐SCF Local‐Hybrid Scheme for Highly Accurate Energy Differences of Large Main‐Group Systems

Journal of Computational Chemistry, Volume 47, Issue 17, 30 June 2026.
A post‐SCF energy‐corrected local‐hybrid scheme, EC(LH)@(m)GGA, is introduced, in which hyper‐meta‐GGA ingredients obtained from inexpensive meta‐GGA or GGA orbitals are used as input for a single local‐hybrid energy evaluation. Using LH25nP as a prototype, this strategy retains the characteristic accuracy and strong‐correlation improvement of the ...
Artur Wodyński, Martin Kaupp
wiley   +1 more source

Multi-objective hyper-heuristics: a survey

Artificial Intelligence Review
Abstract In recent years, research on the integration of evolutionary multi-objective optimization and (hyper-) heuristics (MOHHs) has significantly grown. This paper presents a comprehensive survey of MOHH research, categorizing existing approaches into four main classes: selection, generation, portfolio, and configuration MOHHs ...
Julio Juárez, Hugo Terashima-Marín, Carlos A. Coello Coello   +2 more
openaire   +1 more source

Hyper-Heuristic Capacitance Array Method for Multi-Metal Wear Debris Detection. [PDF]

Sensors (Basel), 2019
Sun Y, Jia L, Zeng Z.
europepmc   +1 more source

A generality analysis of multiobjective hyper-heuristics

Information Sciences, 2023
Wenwen Li 0003, Ender Özcan, John H. Drake, Mashael S. Maashi   +3 more
openaire   +1 more source

An analysis of heuristic subsequences for offline hyper-heuristic learning

, 2019
A selection hyper-heuristic is used to minimise the objective functions of a well-known set of benchmark problems. The resulting sequences of low level heuristic selections and objective function values are used to generate a database of heuristic ...
EC Keedwell (21844010), W Yates (21866708)   +1 more
core  

Multi-objective Optimisation of a Water Distribution Network with a Sequence-based Selection Hyper-heuristic

, 2016
Multi-objective hyper-heuristics are fast becoming an efficient way of optimising complex problems. The water distribution network design problem is an example of such a problem, and this work employs a recent hyper-heuristic that generates sequences of ...
D Savic (21847520), E Keedwell (21843959), DJ Walker (16066739)   +2 more
core  

Learning-based multi-objective hyper-heuristic algorithm for reconfigurable assembly line scheduling problems. [PDF]

PLoS One
Zhao H, Huang X, Liu G, Li Z, Chen F, Lu G.   +5 more
europepmc   +1 more source

A hyper-heuristic based on random gradient, greedy and dominance

, 2012
Hyper-heuristics have emerged as effective general methodologies that are motivated by the goal of building or selecting heuristics automatically to solve a range of hard computational search problems with less development cost.
Kheiri, Ahmed; id_orcid, Özcan, Ender
core   +1 more source

A steady state micro genetic algorithm for hyper-heuristic generation in one-dimensional bin packing. [PDF]

Sci Rep
Juárez J, Falcón-Cardona JG, Ortiz-Bayliss JC.   +2 more
europepmc   +1 more source

WHFDL: an explainable method based on World Hyper-heuristic and Fuzzy Deep Learning approaches for gastric cancer detection using metabolomics data. [PDF]

BioData Min
Mahdavi N, Daliri A, Zabihimayvan M, Yaghooti Y, Mir MM, Ghazanfari P, Zarrabi A, Khalaj P, Sadeghi R.   +8 more
europepmc   +1 more source