Suchergebnisse - "Dynamic Multi-Objective Evolutionary Algorithms"

Neural network based multi-objective evolutionary algorithm for dynamic workflow scheduling in cloud computing von Ismayilov, Goshgar, Topcuoglu, Haluk Rahmi

“… Workflow scheduling is a largely studied research topic in cloud computing, which targets to utilize cloud resources for workflow tasks by considering the …”
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Dynamic multi-objective optimization algorithm based decomposition and preference von Hu, Yaru, Zheng, Jinhua, Zou, Juan, Jiang, Shouyong, Yang, Shengxiang

“… Most of the existing dynamic multi-objective evolutionary algorithms (DMOEAs) are effective, which focuses on searching for the approximation of Pareto-optimal …”
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A general framework based on dynamic multi-objective evolutionary algorithms for handling feature drifts on data streams von Sahmoud, Shaaban, Topcuoglu, Haluk Rahmi

“… This paper proposes a new and efficient framework to deal with the classification of data streams when exhibiting feature drifts. The first building block of …”
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Dynamic multi-objective workflow scheduling for combined resources in cloud von Zhang, Yan, Wu, Linjie, Li, Mengxia, Zhao, Tianhao, Cai, Xingjuan

“… Cloud resource providers offer idle resources to users as spot instances. The price of the instances changes with market supply and demand, and the dynamic …”
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Exploiting characterization of dynamism for enhancing dynamic multi-objective evolutionary algorithms von Sahmoud, Shaaban, Topcuoglu, Haluk Rahmi

“… Characterization of dynamism is an essential phase for some of the dynamic multi-objective evolutionary algorithms (DMOEAs) in order to improve their …”
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Memory-Assisted Dynamic Multi-Objective Evolutionary Algorithm for Feature Drift Problem von Sahmoud, Shaaban, Topcuoglu, Haluk Rahmi

“… In this paper, we propose an enhanced feature selection algorithm able to cope with feature drift problem that may occur in data streams, where the set of …”
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Modeling an agent-based cooperative dynamic behavior in an uncertain context of SME's sustainable supply chain von Ben Mekki, Aicha, Tounsi, Jihene, Said, Lamjed Ben

“… by drawing upon the concept of competitiveness and the dynamism of the environment, a knowledge base model is developed to design the behavior of autonomous …”
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An ensemble learning based prediction strategy for dynamic multi-objective optimization von Wang, Feng, Li, Yixuan, Liao, Fanshu, Yan, Hongyang

“… Prediction strategies are widely-used in dynamic multi-objective evolutionary algorithms (DMOEAs). However, the characteristics of the environmental changes …”
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A dynamic multi-objective optimization evolutionary algorithm with adaptive boosting von Peng, Hu, Xiong, Jianpeng, Pi, Chen, Zhou, Xinyu, Wu, Zhijian

“… Dynamic multi-objective optimization problems (DMOPs) are prevalent in the real world, where the challenge in solving DMOPs is how to track the time-varying …”
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Dynamic Multi-objective Optimization Algorithm Based on RNN Information Accumulation von CHENG Xuefeng, DONG Minggang

“… Dynamic multi-objective optimization problems exist widely in real life.After the environment changes,it is necessary for the evolutionary algorithm to have …”
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Application of population evolvability in a hyper-heuristic for dynamic multi-objective optimization von Macias-Escobar, Teodoro, Cruz-Reyes, Laura, Dorronsoro, Bernabé, Fraire-Huacuja, Héctor, Rangel-Valdez, Nelson, Gómez-Santillán, Claudia

“… It is important to know the properties of an optimization problem and the difficulty an algorithm faces to solve it. Population evolvability obtains …”
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Domain Generalization-Based Evolutionary Algorithm for Hybrid Flowshop Dynamic Scheduling Problem von Wang, Hao, Wang, Xingqin, Gu, Xin

“… Hybrid flowshop dynamic scheduling problem (HFDSP) represents an important area of scheduling problems. In real life, machine status may change in the dynamic …”
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UAV online path planning based on dynamic multiobjective evolutionary algorithm von Peng Xingguang, Xu Demin, Zhang Fubin

“… Online path planning (OPP) is the basic issue of some complex mission and is indeed a dynamic multi-objective optimization problem (DMOP). In this paper, we …”
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