Selective opposition based constrained barnacle mating optimization: Theory and applications
Results in Control and OptimizationMathematical models of Barnacle Mating Optimization (BMO) are based on observations of real-world barnacle mating behaviors such as sperm casting and self-fertilization.
Marzia Ahmed +4 more
doaj +1 more source
Opposition-Based Adaptive Fireworks Algorithm
Algorithms, 2016 A fireworks algorithm (FWA) is a recent swarm intelligence algorithm that is inspired by observing fireworks explosions. An adaptive fireworks algorithm (AFWA) proposes additional adaptive amplitudes to improve the performance of the enhanced fireworks ...
Chibing Gong
doaj +1 more source
An Improved Golden Jackal Optimization Algorithm Using Opposition-Based Learning for Global Optimization and Engineering Problems [PDF]
, 2023 Sarada Mohapatra, Prabhujit Mohapatra
openalex +1 more source
Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows
Advanced Engineering Materials, EarlyView.A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba +5 more
wiley +1 more source
Improved PSO Algorithm Integrated With Opposition-Based Learning and Tentative Perception in Networked Data Centres [PDF]
, 2020 Zhou Zhou +3 more
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An Improved Reptile Search Algorithm with Ghost Opposition-based Learning for Global Optimization Problems [PDF]
, 2023 Heming Jia +5 more
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A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data
Advanced Engineering Materials, EarlyView.Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour +5 more
wiley +1 more source
Complexity, 2019 Many optimization problems have become increasingly complex, which promotes researches on the improvement of different optimization algorithms. The monarch butterfly optimization (MBO) algorithm has proven to be an effective tool to solve various kinds ...
Lin Sun +3 more
doaj +1 more source
Numerical Modeling of Tank Cars Carrying Hazardous Materials With and Without Composite Metal Foam
Advanced Engineering Materials, EarlyView.Large‐scale puncture models consisting of hazardous materials (HAZMATs) tank car with protective steel–steel composite metal foam (S–S CMF) are solved numerically. Tank car plate with added 10.91–13.33 mm thick S–S CMF layer does not puncture. Protective S–S CMF absorbs impact energy, reduces plate deformation, and prevents shear bands formation ...
Aman Kaushik, Afsaneh Rabiei
wiley +1 more source
Accelerated Opposition Learning based Single Candidate Optimization Algorithm
, 2023 In order to address optimization problems effectively, the development of efficient optimization algorithms holds paramount importance. This study focuses on developing the search capability of the Single Candidate Optimization (SCO) algorithm, introduced by Shami et al. in 2022.
Doğan, Cihat, Yüzgeç, Uğur
openaire +1 more source