Search Results - "Coello, A A"

Multimodal Multiobjective Evolutionary Optimization With Dual Clustering in Decision and Objective Spaces by Lin, Qiuzhen, Lin, Wu, Zhu, Zexuan, Gong, Maoguo, Li, Jianqiang, Coello, Carlos A. Coello

“…This article suggests a multimodal multiobjective evolutionary algorithm with dual clustering in decision and objective spaces. One clustering is run in…”
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Using the Averaged Hausdorff Distance as a Performance Measure in Evolutionary Multiobjective Optimization by Schutze, O., Esquivel, X., Lara, A., Coello, C. A. C.

“…The Hausdorff distance d H is a widely used tool to measure the distance between different objects in several research fields. Possible reasons for this might…”
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A Survey on Multiobjective Evolutionary Algorithms for the Solution of the Portfolio Optimization Problem and Other Finance and Economics Applications by Ponsich, A., Jaimes, A. L., Coello, C. A. C.

“…The coinciding development of multiobjective evolutionary algorithms (MOEAs) and the emergence of complex problem formulation in the finance and economics…”
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Intrusion detection using multi-objective evolutionary convolutional neural network for Internet of Things in Fog computing by Chen, Yi, Lin, Qiuzhen, Wei, Wenhong, Ji, Junkai, Wong, Ka-Chun, Coello, Carlos A. Coello

“…Our world is moving fast towards the era of the Internet of Things (IoT), which connects all kinds of devices to digital services and brings significant…”
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Coevolutionary Multiobjective Evolutionary Algorithms: Survey of the State-of-the-Art by Miguel Antonio, Luis, Coello Coello, Carlos A.

“…In the last 20 years, evolutionary algorithms (EAs) have shown to be an effective method to solve multiobjective optimization problems (MOPs). Due to their…”
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Evolutionary multiobjective optimization: open research areas and some challenges lying ahead by Coello Coello, Carlos A., González Brambila, Silvia, Figueroa Gamboa, Josué, Castillo Tapia, Ma Guadalupe, Hernández Gómez, Raquel

“…Evolutionary multiobjective optimization has been a research area since the mid-1980s, and has experienced a very significant activity in the last 20 years…”
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A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems by Osaba, Eneko, Villar-Rodriguez, Esther, Del Ser, Javier, Nebro, Antonio J., Molina, Daniel, LaTorre, Antonio, Suganthan, Ponnuthurai N., Coello Coello, Carlos A., Herrera, Francisco

“…In the last few years, the formulation of real-world optimization problems and their efficient solution via metaheuristic algorithms has been a catalyst for a…”
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Particle Swarm Optimization With a Balanceable Fitness Estimation for Many-Objective Optimization Problems by Lin, Qiuzhen, Liu, Songbai, Zhu, Qingling, Tang, Chaoyu, Song, Ruizhen, Chen, Jianyong, Coello, Carlos A. Coello, Wong, Ka-Chun, Zhang, Jun

“…Recently, it was found that most multiobjective particle swarm optimizers (MOPSOs) perform poorly when tackling many-objective optimization problems (MaOPs)…”
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Reliable Link Inference for Network Data With Community Structures by Ma, Lijia, Li, Jianqiang, Lin, Qiuzhen, Gong, Maoguo, Coello Coello, Carlos A., Ming, Zhong

“…Complex systems are often characterized by complex networks with links and entities. However, in many complex systems such as protein-protein interaction…”
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Survey of Multiobjective Evolutionary Algorithms for Data Mining: Part II by Mukhopadhyay, Anirban, Maulik, Ujjwal, Bandyopadhyay, Sanghamitra, Coello, Carlos A. Coello

“…This paper is the second part of a two-part paper, which is a survey of multiobjective evolutionary algorithms for data mining problems. In Part I ,…”
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Using multi-objective evolutionary algorithms for single-objective constrained and unconstrained optimization by Segura, Carlos, Coello, Carlos A. Coello, Miranda, Gara, León, Coromoto

“…In recent decades, several multi-objective evolutionary algorithms have been successfully applied to a wide variety of multi-objective optimization problems…”
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Multiobjective Multitasking Optimization With Decomposition-Based Transfer Selection by Lin, Qiuzhen, Wu, Zhongjian, Ma, Lijia, Gong, Maoguo, Li, Jianqiang, Coello, Carlos A. Coello

“…Multiobjective multitasking optimization (MTO) needs to solve a set of multiobjective optimization problems simultaneously, and tries to speed up their…”
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On the Influence of the Number of Objectives on the Hardness of a Multiobjective Optimization Problem by Schutze, O., Lara, A., Coello, C. A. C.

“…In this paper, we study the influence of the number of objectives of a continuous multiobjective optimization problem on its hardness for evolution strategies…”
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Multiple source transfer learning for dynamic multiobjective optimization by Ye, Yulong, Lin, Qiuzhen, Ma, Lijia, Wong, Ka-Chun, Gong, Maoguo, Coello Coello, Carlos A.

“…•A hierarchical clustering-based manifold transfer learning (CMTL) method is developed for dynamic multi-objective optimization problems.•A multi-source…”
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Multiobjective Evolutionary Algorithms in Aeronautical and Aerospace Engineering by Arias-Montano, Alfredo, Coello, C. A. C., Mezura-Montes, E.

“…Nowadays, the solution of multiobjective optimization problems in aeronautical and aerospace engineering has become a standard practice. These two fields offer…”
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A Self-Guided Reference Vector Strategy for Many-Objective Optimization by Liu, Songbai, Lin, Qiuzhen, Wong, Ka-Chun, Coello Coello, Carlos A., Li, Jianqiang, Ming, Zhong, Zhang, Jun

“…Generally, decomposition-based evolutionary algorithms in many-objective optimization (MaOEA/Ds) have widely used reference vectors (RVs) to provide search…”
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An Effective Ensemble Framework for Multiobjective Optimization by Wang, Wenjun, Yang, Shaoqiang, Lin, Qiuzhen, Zhang, Qingfu, Wong, Ka-Chun, Coello Coello, Carlos A., Chen, Jianyong

“…This paper proposes an effective ensemble framework (EF) for tackling multiobjective optimization problems, by combining the advantages of various evolutionary…”
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A spatial land-use planning support system based on game theory by Maleki, Jamshid, Masoumi, Zohreh, Hakimpour, Farshad, Coello Coello, Carlos A.

“…•We use game theory in urban land use planning.•We consider the urban spatial units as parcel to model the dynamics of urban environment more realistic.•We use…”
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A Clustering-Based Evolutionary Algorithm for Many-Objective Optimization Problems by Lin, Qiuzhen, Liu, Songbai, Wong, Ka-Chun, Gong, Maoguo, Coello Coello, Carlos A., Chen, Jianyong, Zhang, Jun

“…This paper suggests a novel clustering-based evolutionary algorithm for many-objective optimization problems. Its main idea is to classify the population into…”
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Theoretical and numerical constraint-handling techniques used with evolutionary algorithms: a survey of the state of the art by Coello Coello, Carlos A

“…This paper provides a comprehensive survey of the most popular constraint-handling techniques currently used with evolutionary algorithms. We review approaches…”
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