Results 151 to 160 of about 82,578 (301)

The Barter Method: A New Heuristic for Global Optimization and its Comparison with the Particle Swarm and the Differential Evolution Methods [PDF]

The objective of this paper is to introduce a new population-based (stochastic) heuristic to search the global optimum of a (continuous) multi-modal function and to assess its performance (on a fairly large number of benchmark functions) vis-à-vis that ...
Mishra, SK
core   +1 more source

Hybrid Bacterial Colony Optimization and Particle Swarm Optimization for load balancing in fog computing. [PDF]

PLoS One
Kumar A, Gupta P, Verma R.
europepmc   +1 more source

Enhancing Fatigue Crack Growth Resistance in Heterostructured Aluminum Bimetals by Tailored Interface Design

Advanced Engineering Materials, EarlyView.
Different Al/Al bimetals with a single engineered interface reveal how mechanical mismatch governs fatigue crack growth under cyclic loading. Additionally, loading–unloading–reloading tests link the microyielding behavior to the fatigue crack growth resistance, while crack‐path analysis reveals toughening mechanisms at the interface, highlighting ...
Sebastian Vollath, Philip Manuel Pohl, Heinz Werner Höppel   +2 more
wiley   +1 more source

Improved many-objective particle swarm optimization based welding sequence optimization research. [PDF]

PLoS One
Dong L, Gu S, Dong J, Ji Q, Liu J.
europepmc   +1 more source

Multilayer Self‐Limiting Electrospray Deposition via Stepped Voltage Bias

Advanced Engineering Materials, EarlyView.
Self‐limiting electrospray deposition (SLED) uses a high voltage to generate and deposit a charged payload on a target surface. The coating retains its charge, repelling newly arriving material. SLED thickness can be decreased by applying a secondary bias to the target.
Madhuri Deb, S. Rahman Pejman, Alexander Jakimowicz, Jonathan P. Singer   +3 more
wiley   +1 more source

Particle swarm optimization framework for Parkinson's disease prediction. [PDF]

PeerJ Comput Sci
Eliwa EHI, Abd El-Hafeez T.
europepmc   +1 more source

Foundational Machine‐Learning Interatomic Potential for Simulating Chemically Complex Ni‐Based Superalloys

Advanced Engineering Materials, EarlyView.
We apply a foundational machine‐learning interatomic potential based on the graph atomic cluster expansion (GRACE) to simulate the commercial Ni‐based single‐crystal superalloy CMSX‐4. Hybrid Monte‐Carlo/molecular dynamics sampling resolves short‐range order in the γ phase and L12 sublattice occupancies in the γ’ phase and connects them to stacking ...
Aditya Vishwakarma, Sarath Menon, Fritz Körmann, Thomas Hammerschmidt, Ralf Drautz   +4 more
wiley   +1 more source

Sine cosine particle swarm optimization algorithm for optimizing large scale issues. [PDF]

Sci Rep
Wang Y.
europepmc   +1 more source

Microstructure Modification of Additively Manufactured Mo–9Si–8B by Annealing and Its Effects on High‐Temperature Mechanical Properties

Advanced Engineering Materials, EarlyView.
Postbuild annealing systematically modifies the phase fractions and morphology of EB‐PBF processed Mo–9Si–8B. Quantitative microstructure–property correlations reveal how controlled phase evolution enhances high‐temperature compressive strength and creep resistance.
Christopher Schmidt, Yong Chen, Georg Hasemann, Benjamin Wahlmann, Carolin Körner, Manja Krüger   +5 more
wiley   +1 more source

The most representative composite rank ordering of multi-attribute objects by the particle swarm optimization [PDF]

Rank-ordering of individuals or objects on multiple criteria has many important practical applications. A reasonably representative composite rank ordering of multi-attribute objects/individuals or multi-dimensional points is often obtained by the ...
Mishra, SK
core   +1 more source