Results 81 to 90 of about 10,517,802 (309)
MOMPA: Multi-objective marine predator algorithm for solving multi-objective optimization problems
This paper proposes a new multi-objective algorithm, called Multi-Objective Marine-Predator Algorithm (MOMPA), dependent on elitist non-dominated sorting and crowding distance mechanism.
Jangir, Pradeep +3 more
core +1 more source
New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design
This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare +5 more
wiley +1 more source
The OntOMat ontology establishes a structured framework for polymer matrix fiber reinforced composite materials, integrating manufacturing processes, characterization methods, and multiscale design through the VDI/VDE 3682 formalized process description standard.
Nicolas Christ +19 more
wiley +1 more source
Architecture‐Driven Sensor Stability in Weft‐Knitted Engineering Textiles
Textile‐integrated sensor architectures are systematically compared to evaluate their electromechanical behavior under combined mechanical and environmental loading. Pocket‐based integration exhibits stable and reproducible signals, whereas tunnel‐based routing shows higher sensitivity accompanied by increased variability.
Adnan Maroof Khan +5 more
wiley +1 more source
Simultaneous sizing of a photovoltaic system and compressed air energy storage in a microgrid
The integration of Compressed Air Energy Storage (CAES) with photovoltaic (PV) systems, complemented by grid interconnection capabilities and diesel generator backup, represents an advanced approach to sustainable microgrid design for future energy ...
Tshilumba Kalala +1 more
doaj +1 more source
Multi-Objective Optimization using Artificial Intelligence Techniques
This book focuses on the most well-regarded and recent nature-inspired algorithms capable of solving optimization problems with multiple objectives. Firstly, it provides preliminaries and essential definitions in multi-objective problems and different ...
Dong, Jin Song, Mirjalili, Seyedali
core +1 more source
Multi-Objective Optimization of an Industrial Isoprene Production Unit by Using Genetic Algorithm Approach [PDF]
The present work deals with the multi-objective optimization of an industrial Isoprene production unit by using Genetic Algorithm (GA). The purpose of this plant is to produce high purity Isoprene for obtaining synthetic and thermoplastic rubber from a ...
Xavier Joulia +9 more
core +1 more source
Fabrication Routes for Ionic Conducting Fiber Strain Sensors
Ionic conducting fiber strain sensors (ICFSs) offer compliant, textile‐integrable sensing. Thus far, the commercialization of ICFSs has been constrained by fiber fabrication routes. This review provides a fabrication‐centric analysis of ICFSs correlating processing strategies with material properties and scalability.
Leo John Kershaw +3 more
wiley +1 more source
A data-driven generative strategy to avoid reward hacking in multi-objective molecular design
Molecular design using data-driven generative models has emerged as a promising technology, impacting various fields such as drug discovery and the development of functional materials.
Tatsuya Yoshizawa +5 more
doaj +1 more source
Combustion chamber’s key components of marine engine exhibit varied reliability evaluation indicators, and conventional methodologies fail to account for performance degradation of specific evaluation index because of reliability with coupling and cross ...
Lei Hu +5 more
doaj +1 more source

