Results 201 to 210 of about 4,635,823 (252)
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Scoring and Dynamic Hierarchy-Based NSGA-II for Multiobjective Workflow Scheduling in the Cloud
IEEE Transactions on Automation Science and Engineering, 2022Cloud computing becomes a promising technology to reduce computation cost by providing users with elastic resources and application-deploying environments as a pay-per-use model. More scientific workflow applications have been moved or are being migrated
Huifang Li +5 more
semanticscholar +1 more source
International Journal of Production Research, 2022
The highly competitive and volatile market puts companies in a tough position. While cost and time efficiency are important to stay competitive, environmental awareness is more and more critical.
I. Khettabi +2 more
semanticscholar +1 more source
The highly competitive and volatile market puts companies in a tough position. While cost and time efficiency are important to stay competitive, environmental awareness is more and more critical.
I. Khettabi +2 more
semanticscholar +1 more source
Who's better? PESA or NSGA II?
Seventh International Conference on Intelligent Systems Design and Applications (ISDA 2007), 2007According to the no free lunch (NFL) theorems all black-box algorithms perform equally well when compared over the entire set of optimization problems. An important problem related to NFL is finding a test problem for which a given algorithm is better than another given algorithm.
Laura Diosan, Mihai Oltean
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From Understanding the Population Dynamics of the NSGA-II to the First Proven Lower Bounds
AAAI Conference on Artificial Intelligence, 2022Due to the more complicated population dynamics of the NSGA-II, none of the existing runtime guarantees for this algorithm is accompanied by a non-trivial lower bound. Via a first mathematical understanding of the population dynamics of the NSGA-II, that
Benjamin Doerr, Zhongdi Qu
semanticscholar +1 more source
Network Expansion Planning using Improved Controlled NSGA-II
IEEJ Transactions on Power and Energy, 2014SUMMARYThis paper presents the application of multiobjective optimization methods to network expansion planning. Distribution network expansion planning minimizes system cost and distribution loss while satisfying the constraints. Problem formulation yields combinatorial optimization problems that are difficult to solve due to their complexity.
Masanori Okabe +2 more
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A NSGA-II Algorithm for Task Scheduling in UAV-Enabled MEC System
IEEE transactions on intelligent transportation systems (Print), 2022In this paper, we investigate the task scheduling problem in the UAV-enable Mobile Edge-Computing (MEC) system with the objectives of minimizing the cost and the completion time. A NSGA-II algorithm is proposed for the problem under study.
Jie Zhu +4 more
semanticscholar +1 more source
IEEE Internet of Things Journal
In a mobile edge computing (MEC) environment, latency and energy consumption can be reduced by offloading tasks from mobile devices to edge servers (ESs) instead of remote cloud servers.
Bahareh Bahrami +2 more
semanticscholar +1 more source
In a mobile edge computing (MEC) environment, latency and energy consumption can be reduced by offloading tasks from mobile devices to edge servers (ESs) instead of remote cloud servers.
Bahareh Bahrami +2 more
semanticscholar +1 more source
AP-NSGA-II: An Evolutionary Multi-objective Optimization Algorithm Using Average-Point-Based NSGA-II
2014Multi-objective optimization involves optimizing a number of objectives simultaneously, and it becomes challenging when the objectives conflict each other, i.e., the optimal solution of one objective function is different from that of other. These problems give rise to a set of trade-off optimal solutions, popularly known as Pareto-optimal solution ...
Prabhujit Mohapatra, Santanu Roy
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Fast implementation of steady-state NSGA-II
2016 IEEE Congress on Evolutionary Computation (CEC), 2016In steady-state evolutionary algorithms, the parent population is updated each time once a new offspring solution is generated. Due to the updation of the parent population, the non-dominated sorting needs to be applied again and again. The repetition of non-dominated sorting makes steady-state algorithms computationally expensive. But the recent study
Sumit Mishra +2 more
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Multi-objective fuzzy modeling using NSGA-II
2008 IEEE Conference on Cybernetics and Intelligent Systems, 2008An approach to construct multiple Pareto-optimal fuzzy systems based on NSGA-II is proposed in this paper. First, in order to obtain a good initial fuzzy system, a modified fuzzy clustering algorithm is used to identify the antecedents of fuzzy system, while the consequents are designed separately to reduce computational burden.
null Xing Zong-Yi +3 more
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