Results 71 to 80 of about 2,015 (249)

Design and Optimization of a Novel Kalina‐Organic Rankine Cycle System Based on LNG Cold Energy Utilization

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT This study proposes a novel integrated system (SDKC‐DORC) that combines a split‐flow dual‐pressure Kalina cycle with a secondary organic Rankine cycle for the synergistic utilization of solar energy and liquefied natural gas (LNG) cold energy.
Ke Xiao, Kun Wang, Wenquan Jiang, Fan Yang, Changshun Wang, Chengjie Su, Junjie Liu   +6 more
wiley   +1 more source

Dynamic multi‐objective optimisation of complex networks based on evolutionary computation

IET Networks, EarlyView., 2022
Abstract As the problems concerning the number of information to be optimised is increasing, the optimisation level is getting higher, the target information is more diversified, and the algorithms are becoming more complex; the traditional algorithms such as particle swarm and differential evolution are far from being able to deal with this situation ...
Linfeng Huang
wiley   +1 more source

Finite Element-Based Multi-Objective Optimization of a New Inclined Oval Rolling Pass Geometry

Modelling
A novel rolling scheme incorporating an inclined oval-caliber configuration is proposed to enhance plastic deformation mechanisms in the traditional oval–round rolling sequence.
Kairosh Nogayev, Aman Kamarov, Maxat Abishkenov, Zhassulan Ashkeyev, Nurbolat Sembayev, Saltanat Kydyrbayeva   +5 more
doaj   +1 more source

Energy‐Efficient and Sustainable Design Optimization for Ternary Mixture Separation: A Comparative Analysis of Sequential Iterative Optimization and Non‐Dominated Sorting Genetic Algorithm II

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT This study presents a comparative analysis of two optimization approaches: Sequential Iterative Optimization (SIO) and Non‐dominated Sorting Genetic Algorithm II (NSGA‐II) applied to the separation of ternary mixtures (1‐butanol, isobutanol, and 2‐butanol) using Dual‐Column Distillation (DCD) and Dividing‐Wall Column (DWC) processes. Through a
Ruijie Wang, Xinlan Weng, Xiaoxin Gao, Zhimeng Wang, Xiaoyu Kang, Zeyang Li   +5 more
wiley   +1 more source

Short‐Term Scheduling Optimization of a Single‐Pipeline Refining System With High Melting Point Crude Oil

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT In order to reflect the actual production situation more comprehensively and optimize the production cost, this paper solves the short‐term scheduling optimization problem for a single pipeline containing high melting point crude oil. Based on the refining plan given by the upper layer, a multi‐objective optimization model with high melting ...
Jing Yao, Xianxin Liu, Zhen Pan, Chengming Hao, Xiangwei Xu, Wei Jia   +5 more
wiley   +1 more source

Harnessing Generative AI for Sustainable Supply Chains: Lean, Circular and Green Perspectives

Business Strategy and the Environment, EarlyView.
ABSTRACT Generative artificial intelligence is playing a significant role in the transformation of digital ecosystems by reinventing the processes of content generation, process automation, product innovation and customer experience. At the same time that these technologies are becoming more integrated into routine operations, the focus has shifted to ...
Ashutosh Singh, Rsha Alghafes, Judit Petra Koltai, Sushant Kumar Vishnoi   +3 more
wiley   +1 more source

Pareto Optimization of a Half Car Passive Suspension Model Using a Novel Multiobjective Heat Transfer Search Algorithm

Modelling and Simulation in Engineering, 2017
Most of the modern multiobjective optimization algorithms are based on the search technique of genetic algorithms; however the search techniques of other recently developed metaheuristics are emerging topics among researchers. This paper proposes a novel
Vimal Savsani, Vivek Patel, Bhargav Gadhvi, Mohamed Tawhid   +3 more
doaj   +1 more source

Machine Learning‐Driven Prediction and Optimization of Cu‐Based Catalysts for CO2 Hydrogenation to Methanol

Carbon and Hydrogen, EarlyView.
A machine‐learning framework integrating multimodel prediction, feature selection, and SHAP interpretability is developed to uncover structure–performance relationships of Cu‐based CO2‐to‐methanol catalysts. The optimized XGBoost model and an online prediction platform enable accurate selectivity prediction and data‐driven catalyst design.
Conglong Su, Zhangkai Jing, Qiuming Zhou, Yuan Zhu, Sishi Ye, Tianye Wang, Kuo Chen, Xuebin Luan, Zhigang Tang, Run Xu, Chaopeng Hou, Hongwei Li   +11 more
wiley   +1 more source

A particle swarm optimizer for multi-objective optimization

Journal of Computer Science and Technology, 2005
This paper proposes a hybrid particle swarm approach called Simple Multi-Objective Particle Swarm Optimizer (SMOPSO) which incorporates Pareto dominance, an elitist policy, and two techniques to maintain diversity: a mutation operator and a grid which is
Leticia Cagnina, Susana Cecilia Esquivel, Carlos Coello Coello   +2 more
doaj  

Non-dominated Sorting Genetic Algorithms for a Multi-objective Resource Constraint Project Scheduling Problem

Journal of Intelligent Systems, 2017
The resource constraint project scheduling problem (RCPSP) has attracted growing attention since the last decades. Precedence constraints are considered as well as resources with limited capacities.
Wang Xixi, Yalaoui Farouk, Dugardin Frédéric   +2 more
doaj   +1 more source