Results 11 to 20 of about 6,048,895 (335)
Evolutionary Computing within Grid Environment. [PDF]
, 2007 Evolutionary computing (EC) techniques such as genetic algorithm (GA), genetic programming (GP), evolutionary programming (EP) and evolution strategies (ES) mimic nature through natural selection to perform complex optimisation processes that require ...
Tiwari, Ashutosh +2 more
core +8 more sources
Challenges in real world optimisation using evolutionary computing [PDF]
, 2004 Challenges in real world optimisation using evolutionary computing With rising global competition, it is becoming increasingly more important for industry to optimise its activities.
Tiwari, Ashutosh, Roy, Rajkumar
core +7 more sources
Reproducibility in Evolutionary Computation [PDF]
ACM Transactions on Evolutionary Learning and Optimization, 2021 Experimental studies are prevalent in Evolutionary Computation ( EC ), and concerns about the reproducibility and replicability of such studies have increased in recent times, reflecting similar concerns in other scientific fields.
Manuel López-Ibáñez 0001 +2 more
openaire +6 more sources
Placement of Optical Sensors in 3D Terrain Using a Bacterial Evolutionary Algorithm
Sensors, 2022 This paper proposes an optimization framework for terrain large scale optical sensor placement to improve border protection. Compared to the often used, maximal coverage of an area approach, this method minimizes the undetected passages in the monitored ...
Szilárd Kovács +2 more
doaj +1 more source
Evolutionary Multi-Objective Reinforcement Learning Based Trajectory Control and Task Offloading in UAV-Assisted Mobile Edge Computing [PDF]
IEEE Transactions on Mobile Computing, 2022 This article studies the trajectory control and task offloading (TCTO) problem in an unmanned aerial vehicle (UAV)-assisted mobile edge computing system, where a UAV flies along a planned trajectory to collect computation tasks from smart devices (SDs ...
Fuhong Song +6 more
semanticscholar +1 more source
Mathematics, 2021 This paper presents trend prediction results based on backtesting of the European Union Emissions Trading Scheme futures market. This is based on the Intercontinental Exchange from 2005 to 2019.
Marc Lamphiere +2 more
doaj +1 more source
Smart Oil Field Management System Using Evolutionary Intelligence
IEEE Access, 2023 This research proposes a new flexible intelligent system that manages the inflow control valve to improve oil production. For the efficient management of the smart oil field, the use of optimization algorithms is required.
Renata Garcia Oliveira +4 more
doaj +1 more source
SDN-Based Resource Allocation in Edge and Cloud Computing Systems: An Evolutionary Stackelberg Differential Game Approach [PDF]
IEEE/ACM Transactions on Networking, 2021 Recently, the boosting growth of computation-heavy applications raises great challenges for the Fifth Generation (5G) and future wireless networks. As responding, the hybrid edge and cloud computing (ECC) system has been expected as a promising solution ...
Jun Du +4 more
semanticscholar +1 more source
Grid enabled optimisation using evolutionary algorithms [PDF]
, 2008 Optimisation and decision support tools are vital in all areas of engineering. Many engineering design problems, from the design of a controller for aircraft stability to the development of automobile chassis, can be effectively addressed by using ...
Shenfield, Alex
core +5 more sources
IEEE Transactions on Cloud Computing, 2023 To cope with the rapid development of the Internet of Things (IoT) and the increasing demand for real-time services, mobile edge computing (MEC) has become a promising solution which extends centralised cloud computing, to provision computing resources ...
Lei Pan +4 more
semanticscholar +1 more source