Results 41 to 50 of about 65,434 (314)

Machine Learning Accelerated Computational Design of Bio‐Inspired Catalysts in the Nitrogen Reduction Reaction

Advanced Materials, EarlyView.
We introduce a computational workflow that combines quantum chemical calculations and machine learning techniques to predict the catalytic performance of a wide range of catalysts in the nitrogen reduction reaction (NRR). The analysis of the trained models provides insights into the complex structure–activity relationship in experimental catalytic ...
Leonardo Di Ciano, Zihan You, Haoran Chen, Qifan Zhong, Rong‐Zhen Liao, Shaoqi Zhan   +5 more
wiley   +1 more source

A deterministic tabu search algorithm for the capacitated arc routing problem [PDF]

, 2008
The capacitated arc routing problem (CARP) is a difficult optimisation problem in vehicle routing with applications where a service must be provided by a set of vehicles on specified roads.
Eglese, R W, Brandao, J
core  

A Case Study of Scheduling Storage Tanks Using a Hybrid Genetic Algorithm

, 2001
YesThis paper proposes the application of a hybrid genetic algorithm (GA) for scheduling storage tanks. The proposed approach integrates GAs and heuristic rule-based techniques, decomposing the complex mixed-integer optimization problem into integer and ...
Dahal, Keshav P., Burt, G.M., Dahal, K., Moyes, A., Moyes, A.J., McDonald, J.R.   +5 more
core   +1 more source

Heuristic algorithm for univariate stratification problem

RAIRO - Operations Research, 2023
In sampling theory, stratification corresponds to a technique used in surveys, which allows segmenting a population into homogeneous subpopulations (strata) to produce statistics with a higher level of precision. In particular, this article proposes a heuristic to solve the univariate stratification problem – widely studied in the literature.
José André Brito, Gustavo Semaan, Leonardo de Lima, Augusto Fadel   +3 more
openaire   +3 more sources

Scalable Task Planning via Large Language Models and Structured World Representations

Advanced Robotics Research, EarlyView.
This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari, Zhaoting Li, Robert Babuška, Jens Kober, Cosimo Della Santina   +4 more
wiley   +1 more source

A Deterministic Tabu Search Algorithm for the Capacitated Arc Routing Problem (CARP) [PDF]

, 2005
The Capacitated Arc Routing Problem (CARP) is a difficult optimisation problem in vehicle routing with applications where a service must be provided by a set of vehicles on specified roads.
Eglese, R W, Brandao, J
core  

Auto‐Routing Fluidic Printed Circuit Boards

Advanced Robotics Research, EarlyView.
This work introduces (STREAM) software tool for routing efficiently advanced macrofluidics, an open‐source software tool for automating the design of 3D‐printable fluidic circuit boards. STREAM streamlines tube routing and layout, enabling the rapid fabrication of fluidic networks for soft robotics, lab‐on‐a‐chip devices, microfluidics, and biohybrid ...
Savita V. Kendre, Lehong Wang, Haotian Liu, Markus P. Nemitz   +3 more
wiley   +1 more source

MOBCA: Multi-Objective Besiege and Conquer Algorithm

Biomimetics
The besiege and conquer algorithm has shown excellent performance in single-objective optimization problems. However, there is no literature on the research of the BCA algorithm on multi-objective optimization problems.
Jianhua Jiang, Jiaqi Wu, Jinmeng Luo, Xi Yang, Zulu Huang   +4 more
doaj   +1 more source

An Efficient Building Evacuation Algorithm in Congested Networks

IEEE Access, 2019
This paper proposes a new network model for the building evacuation problem considering congestion levels and provides a mixed integer linear programming (MILP) model and an efficient heuristic algorithm solving the problem.
Chang Hyup Oh, Min Hee Kim, Byung-In Kim, Young Myoung Ko   +3 more
doaj   +1 more source

Hard‐Magnetic Soft Millirobots in Underactuated Systems

Advanced Robotics Research, EarlyView.
This review provides a comprehensive overview of hard‐magnetic soft millirobots in underactuated systems. It examines key advances in structural design, physics‐informed modeling, and control strategies, while highlighting the interplay among these domains.
Qiong Wang, Zixuan Zhang, Bingyan Li, Junkai Wang, Hongcheng Gu   +4 more
wiley   +1 more source