Results 81 to 90 of about 644,441 (293)
Binary Multi-Objective Grey Wolf Optimizer for Feature Selection in Classification
IEEE Access, 2020 Feature selection or dimensionality reduction can be considered as a multi-objective minimization problem with two objectives: minimizing the number of features and minimizing the error rate simultaneously.
Qasem Al-Tashi +6 more
doaj +1 more source
Approximation of the Whole Pareto-Optimal Set for the Vector Optimization Problem [PDF]
, 2013 In multi objective optimization problems several objective functions have to be minimized simultaneously. In this work, we present a new computational method for the numerical solution of the linearly constrained, convex multi objective optimization ...
Illes, Tibor, Lovics, Gábor
core
Z‐Scheme Water Splitting Systems Based on Solid‐State Electron Conductors
Advanced Functional Materials, EarlyView.This review examines the latest advances in Z‐scheme overall water splitting (OWS) systems for solar hydrogen production. These systems consist of suspended or immobilized hydrogen evolution photocatalysts (HEPs) and oxygen evolution photocatalysts (OEPs).
Chen Gu +3 more
wiley +1 more source
Advanced Functional Materials, EarlyView.By integrating machine learning into flux‐regulated crystallization (FRC), accurate prediction of solvent evaporation rates in real time, improving crystallization control and reducing crystal growth variability by over threefold, is achieved. This enhances the reproducibility and quality of perovskite single crystals, leading to reproducible ...
Tatiane Pretto +8 more
wiley +1 more source
Increasing the density of available pareto optimal solutions [PDF]
, 2012 The set of available multi-objective optimization algorithms continues to grow. This fact can be partially attributed to their widespread use and applicability.
Fleming, P.J., Giagkiozis, I.
core
A hybrid COA$\epsilon$-constraint method for solving multi-objective problems
, 2015 In this paper, a hybrid method for solving multi-objective problem has been provided. The proposed method is combining the {\epsilon}-Constraint and the Cuckoo algorithm. First the multi objective problem transfers into a single-objective problem using $\
Jahani, Niloofar +2 more
core +1 more source
Advanced Functional Materials, EarlyView.[001]‐oriented Sb2Se3 film with improved crystallinity and adjusted composition is achieved via a new thermal treatment approach consisting of preliminary annealing of the Sb layer before its selenization. The findings of this work demonstrate enhanced charge carriers' transportation, a stable performance, and an improvement of H2 generation from ...
Magno B. Costa +7 more
wiley +1 more source
Multi-Objective Particle Swarm Optimization Algorithm for the Minimum Constraint Removal Problem
International Journal of Computational Intelligence Systems, 2020 This paper proposes a multi-objective approach for the minimum constraint removal (MCR) A problem. First, a multi-objective model for MCR path planning is constructed.
Bo Xu, Feng Zhou, Antonio Marcel Gates
doaj +1 more source
Electroactive Metal–Organic Frameworks for Electrocatalysis
Advanced Functional Materials, EarlyView.Electrocatalysis is crucial in sustainable energy conversion as it enables efficient chemical transformations. The review discusses how metal–organic frameworks can revolutionize this field by offering tailorable structures and active site tunability, enabling efficient and selective electrocatalytic processes.
Irena Senkovska +7 more
wiley +1 more source
Advances in Mechanical Engineering, 2018 Blocking flow shop scheduling problems have important applications in manufacturing. Because of the imprecise and vague temporal parameters in real-world production, this article formulates a fuzzy blocking flow shop scheduling problem with fuzzy ...
Zhi Yang, Cungen Liu
doaj +1 more source