Search Results - "Coello Coello, Carlos 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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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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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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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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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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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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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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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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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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An External Archive-Guided Multiobjective Particle Swarm Optimization Algorithm by Zhu, Qingling, Lin, Qiuzhen, Chen, Weineng, Wong, Ka-Chun, Coello Coello, Carlos A., Li, Jianqiang, Chen, Jianyong, Zhang, Jun

“…The selection of swarm leaders (i.e., the personal best and global best), is important in the design of a multiobjective particle swarm optimization (MOPSO)…”
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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 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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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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Comparison of metamodeling techniques in evolutionary algorithms by Díaz-Manríquez, Alan, Toscano, Gregorio, Coello Coello, Carlos A.

“…Although researchers have successfully incorporated metamodels in evolutionary algorithms to solve computational-expensive optimization problems, they have…”
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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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Approximating Complex Pareto Fronts With Predefined Normal-Boundary Intersection Directions by Elarbi, Maha, Bechikh, Slim, Coello Coello, Carlos A., Makhlouf, Mohamed, Ben Said, Lamjed

“…Decomposition-based evolutionary algorithms using predefined reference points have shown good performance in many-objective optimization. Unfortunately, almost…”
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