Suchergebnisse - "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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Push and pull search for solving constrained multi-objective optimization problems von Fan, Zhun, Li, Wenji, Cai, Xinye, Li, Hui, Wei, Caimin, Zhang, Qingfu, Deb, Kalyanmoy, Goodman, Erik

“… This paper proposes a push and pull search (PPS) framework for solving constrained multi-objective optimization problems (CMOPs). To be more specific, the …”
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A multi-task optimization algorithm via reinforcement learning for multimodal multi-objective optimization von Cao, Jie, Yang, Yuze, Zhang, Jianlin, Chen, Zuohan, Liu, Zongli

“… Solving multimodal multi-objective optimization problems (MMOPs) via evolutionary algorithms has recently garnered increasing attention. Maintaining diversity …”
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Multi-surrogate assisted multi-objective evolutionary algorithms for feature selection in regression and classification problems with time series data von Espinosa, Raquel, Jiménez, Fernando, Palma, José

“… Feature selection wrapper methods are powerful mechanisms for reducing the complexity of prediction models while preserving and even improving their precision …”
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A survey on multi-objective evolutionary algorithms for many-objective problems von von Lücken, Christian, Barán, Benjamín, Brizuela, Carlos

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Carbon-aware coordinated supply chain scheduling in the net-zero era: Combining order allocation, production scheduling, and distribution routing problem von Ahmed, Sayem, Abbasi, Alireza, Chakrabortty, Ripon K.

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An improved epsilon constraint-handling method in MOEA/D for CMOPs with large infeasible regions von Fan, Zhun, Li, Wenji, Cai, Xinye, Huang, Han, Fang, Yi, You, Yugen, Mo, Jiajie, Wei, Caimin, Goodman, Erik

“… This paper proposes an improved epsilon constraint-handling mechanism and combines it with a decomposition-based multi-objective evolutionary algorithm …”
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MOEA/D with angle-based constrained dominance principle for constrained multi-objective optimization problems von Fan, Zhun, Fang, Yi, Li, Wenji, Cai, Xinye, Wei, Caimin, Goodman, Erik

“… This paper proposes a novel constraint-handling mechanism, namely the angle-based constrained dominance principle (ACDP), to solve constrained multi-objective …”
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EEEA-Net: An Early Exit Evolutionary Neural Architecture Search von Termritthikun, Chakkrit, Jamtsho, Yeshi, Ieamsaard, Jirarat, Muneesawang, Paisarn, Lee, Ivan

“… The goals of this research were to search for Convolutional Neural Network (CNN) architectures, suitable for an on-device processor with limited computing …”
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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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MOKBL+MOMs: An interpretable multi-objective evolutionary fuzzy system for learning high-dimensional regression data von Aghaeipoor, Fatemeh, Javidi, Mohammad Masoud

“… •MOKBL: Multi-Objective Knowledge Base Learning through a fuzzy feature selection and slight tuning of MFs.•MOMs: Multi-Objective Modifications through a rule …”
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A survey on multi-objective evolutionary algorithms for the solution of the environmental/economic dispatch problems von Qu, B.Y., Zhu, Y.S., Jiao, Y.C., Wu, M.Y., Suganthan, P.N., Liang, J.J.

“… Development of efficient multi-objective evolutionary algorithms (MOEAs) has provided effective tools to solve environmental/economic dispatch (EED) problems …”
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Multi-objective evolutionary feature selection for online sales forecasting von Jiménez, F., Sánchez, G., García, J.M., Sciavicco, G., Miralles, L.

“… Sales forecasting uses historical sales figures, in association with products characteristics and peculiarities, to predict short-term or long-term future …”
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Optimisation of PV-wind-diesel-battery stand-alone systems to minimise cost and maximise human development index and job creation von Dufo-López, Rodolfo, Cristóbal-Monreal, Iván R., Yusta, José M.

“… In this paper we show a multi-objective evolutionary algorithm (MOEA) for the optimisation of stand-alone (off-grid) hybrid systems …”
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An improved multi-objective population-based extremal optimization algorithm with polynomial mutation von Zeng, Guo-Qiang, Chen, Jie, Li, Li-Min, Chen, Min-Rong, Wu, Lie, Dai, Yu-Xing, Zheng, Chong-Wei

“… As a recently developed evolutionary algorithm inspired by far-from-equilibrium dynamics of self-organized criticality, extremal optimization (EO) has been …”
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Multi-objective evolutionary algorithms are generally good: Maximizing monotone submodular functions over sequences von Qian, Chao, Liu, Dan-Xuan, Feng, Chao, Tang, Ke

“… Evolutionary algorithms (EAs) are general-purpose optimization algorithms, inspired by natural evolution. Recent theoretical studies have shown that EAs can …”
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Many Objective Particle Swarm Optimization von Figueiredo, E.M.N., Ludermir, T.B., Bastos-Filho, C.J.A.

“… Many-objective problems refer to the optimization problems containing more than three conflicting objectives. To obtain a representative set of …”
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Topology structure optimization of evolutionary hierarchical fuzzy systems von Zhao, Tao, Zhu, Yue, Xie, Xiangpeng

“… In this paper, a new method of hierarchical fuzzy system modeling for high-dimensional regression problems is proposed, which is called multi-objective …”
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A coevolutionary constrained multi-objective algorithm with a learning constraint boundary von Cao, Jie, Yan, Zesen, Chen, Zuohan, Zhang, Jianlin

“… When solving constrained multi-objective optimization problems, the balance of convergence, diversity, and feasibility plays a pivotal role. To address this …”
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A new evolutionism based self‐adaptive multi‐objective optimization method to predict software cost estimation von Gouda, Sunil Kumar, Mehta, Ashok Kumar

“… One of the major challenge that organizations face in the present environment is having an efficient model for software cost estimation (SCE). In this article, …”
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