Parallel genetic algorithms: a useful survey
In this article, we encompass an analysis of the recent advances in parallel genetic
algorithms (PGAs). We have selected these algorithms because of the deep interest in many …
algorithms (PGAs). We have selected these algorithms because of the deep interest in many …
Parallel genetic algorithm based automatic path planning for crane lifting in complex environments
Heavy lifting is a common and important task in industrial plants. It is conducted frequently
during the time of plant construction, maintenance shutdown and new equipment …
during the time of plant construction, maintenance shutdown and new equipment …
A survey of traffic control with vehicular communications
L Li, D Wen, D Yao - IEEE Transactions on Intelligent …, 2013 - ieeexplore.ieee.org
During the last 60 years, incessant efforts have been made to improve the efficiency of traffic
control systems to meet ever-increasing traffic demands. Some recent works attempt to …
control systems to meet ever-increasing traffic demands. Some recent works attempt to …
A cooperative scheduling model for timetable optimization in subway systems
In subway systems, the energy put into accelerating trains can be reconverted into electric
energy by using the motors as generators during the braking phase. In general, except for a …
energy by using the motors as generators during the braking phase. In general, except for a …
A two-objective timetable optimization model in subway systems
The train timetable optimization problem in subway systems is to determine arrival and
departure times for trains at stations so that the resources can be effectively utilized and the …
departure times for trains at stations so that the resources can be effectively utilized and the …
Survey of agent-based cloud computing applications
F De la Prieta, S Rodríguez-González… - Future generation …, 2019 - Elsevier
In the state of the art, there are very few studies on agent-based Cloud Computing.
Nevertheless, this is an emerging trend and the number of studies and applications in this …
Nevertheless, this is an emerging trend and the number of studies and applications in this …
Modeling and optimizing method for axial flux induction motor of electric vehicles
Axial flux induction motors have attracted attention in electric vehicles due to their
advantages over conventional motors, including higher efficiency, compact structure, high …
advantages over conventional motors, including higher efficiency, compact structure, high …
Parallel computational optimization in operations research: A new integrative framework, literature review and research directions
G Schryen - European Journal of Operational Research, 2020 - Elsevier
Solving optimization problems with parallel algorithms has a long tradition in OR. Its future
relevance for solving hard optimization problems in many fields, including finance, logistics …
relevance for solving hard optimization problems in many fields, including finance, logistics …
Relaxed deep learning for real-time economic generation dispatch and control with unified time scale
L Yin, T Yu, X Zhang, B Yang - Energy, 2018 - Elsevier
To solve the collaboration problem of multi-time scale economic dispatch and generation
control in power system, ie, long term time scale optimization, short term time scale …
control in power system, ie, long term time scale optimization, short term time scale …
PGRNIG: novel parallel gene regulatory network identification algorithm based on GPU
B Yang, W Bao, B Chen - Briefings in Functional Genomics, 2022 - academic.oup.com
Molecular biology has revealed that complex life phenomena can be treated as the result of
many gene interactions. Investigating these interactions and understanding the intrinsic …
many gene interactions. Investigating these interactions and understanding the intrinsic …