Artificial intelligence techniques in refrigeration system modelling and optimization: A multi-disciplinary review
Refrigeration systems currently utilize 17% of total electric energy, and this consumption is
expected to increase by more than 30% by 2050. Moreover, these systems significantly …
expected to increase by more than 30% by 2050. Moreover, these systems significantly …
Identifying surface degradation, mechanical failure, and thermal instability phenomena of high energy density Ni-rich NCM cathode materials for lithium-ion batteries …
Among the existing commercial cathodes, Ni-rich NCM are the most promising candidates
for next-generation LIBs because of their high energy density, relatively good rate capability …
for next-generation LIBs because of their high energy density, relatively good rate capability …
Auit–the adaptive user interfaces toolkit for designing xr applications
Adaptive user interfaces can improve experiences in Extended Reality (XR) applications by
adapting interface elements according to the user's context. Although extensive work …
adapting interface elements according to the user's context. Although extensive work …
Approximate multi-objective optimization for integrated bus route design and service frequency setting
This paper focuses on the transit network design and frequency setting problem for bus
transit systems, where solutions are simultaneously generated in favor of the passengers …
transit systems, where solutions are simultaneously generated in favor of the passengers …
A novel calibration method for robot kinematic parameters based on improved manta ray foraging optimization algorithm
The positioning accuracy has a significant impact on the application of the robotic arm. In
this study, a novel method based on improved manta ray foraging optimization (MRFO) …
this study, a novel method based on improved manta ray foraging optimization (MRFO) …
Multi-objective optimisation for sustainable few-to-many pickup and delivery vehicle routing problem
F Pilati, R Tronconi - International Journal of Production Research, 2024 - Taylor & Francis
ABSTRACT E-commerce is a continuously growing sector significantly affected by
sustainability issues during the last few years. To deal with economic, environmental and …
sustainability issues during the last few years. To deal with economic, environmental and …
Evolutionary Game Theory: Darwinian Dynamics and the G Function Approach
Classical evolutionary game theory allows one to analyze the population dynamics of
interacting individuals playing different strategies (broadly defined) in a population. To …
interacting individuals playing different strategies (broadly defined) in a population. To …
Environment random interaction of rime optimization with Nelder-Mead simplex for parameter estimation of photovoltaic models
J Shi, Y Chen, AA Heidari, Z Cai, H Chen, Y Chen… - Scientific Reports, 2024 - nature.com
As countries attach importance to environmental protection, clean energy has become a hot
topic. Among them, solar energy, as one of the efficient and easily accessible clean energy …
topic. Among them, solar energy, as one of the efficient and easily accessible clean energy …
An improved Simulated Annealing algorithm based on ancient metallurgy techniques
Simulated Annealing (SA) is a single-solution-based metaheuristic technique based on the
annealing process in metallurgy. It is also one of the best-known metaheuristic algorithms …
annealing process in metallurgy. It is also one of the best-known metaheuristic algorithms …
A robust multiobjective model for the integrated berth and quay crane scheduling problem at seaside container terminals
A Nourmohammadzadeh, S Voß - Annals of Mathematics and Artificial …, 2022 - Springer
The ever increasing demand for container transportation has led to the congestion of
maritime container terminals in the world. In this work, the two interrelated problems of berth …
maritime container terminals in the world. In this work, the two interrelated problems of berth …