Search Results - many‐objective arithmetic optimization algorithm

MaOAOA: A Novel Many‐Objective Arithmetic Optimization Algorithm for Solving Engineering Problems by Jangir, Pradeep, Arpita, Pandya, Sundaram B., G., Gulothungan, Khishe, Mohammad, Trivedi, Bhargavi Indrajit

“… This paper aims at overcoming this problem by proposing a new Many‐Objective Arithmetic Optimization Algorithm (MaOAOA…”
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An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems With Box Constraints by Deb, Kalyanmoy, Jain, Himanshu

“…, there is now a growing need for developing evolutionary multiobjective optimization (EMO) algorithms for handling many-objective…”
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Preference-Inspired Coevolutionary Algorithms for Many-Objective Optimization by Rui Wang, Purshouse, Robin C., Fleming, Peter J.

“…The simultaneous optimization of many objectives (in excess of 3), in order to obtain a full and satisfactory set of tradeoff solutions to support a posteriori decision making, remains a challenging problem…”
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Shift-Based Density Estimation for Pareto-Based Algorithms in Many-Objective Optimization by Li, Miqing, Yang, Shengxiang, Liu, Xiaohui

“…) algorithms encounter difficulties in dealing with many-objective problems. In these algorithms, the ineffectiveness of the Pareto dominance relation for a high…”
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An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point Based Nondominated Sorting Approach, Part II: Handling Constraints and Extending to an Adaptive Approach by Jain, Himanshu, Deb, Kalyanmoy

“…In the precursor paper, a many-objective optimization method (NSGA-III), based on the NSGA-II framework, was suggested and applied to a number of unconstrained test and practical problems with box constraints alone…”
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Objective Reduction in Many-Objective Optimization: Linear and Nonlinear Algorithms by Saxena, D. K., Duro, J. A., Tiwari, A., Deb, K., Qingfu Zhang

“…The difficulties faced by existing multiobjective evolutionary algorithms (MOEAs) in handling many-objective problems relate to the inefficiency of selection…”
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Fuzzy-Based Pareto Optimality for Many-Objective Evolutionary Algorithms by He, Zhenan, Yen, Gary G., Zhang, Jun

“… However, when problems with many objectives are encountered, nearly all algorithms perform poorly due to loss of selection pressure in fitness evaluation solely based upon the Pareto optimality principle…”
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A Pareto Corner Search Evolutionary Algorithm and Dimensionality Reduction in Many-Objective Optimization Problems by Singh, H. K., Isaacs, A., Ray, T.

“…Many-objective optimization refers to the optimization problems containing large number of objectives, typically more than four…”
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Optimization Algorithms: Theory and Applications

“… The subjects that are addressed in the ten research papers cover a broad spectrum of optimization algorithms, such as unconstrained optimization, non-convex optimization, multi-objective optimization…”
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Speeding up many-objective optimization by Monte Carlo approximations by Bringmann, Karl, Friedrich, Tobias, Igel, Christian, Voß, Thomas

“… Therefore, although hypervolume-based algorithms are often the method of choice for bi-criteria optimization, they are regarded as not suitable for many-objective optimization…”
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Lightweight Multi-Objective and Many-Objective Problem Formulations for Evolutionary Neural Architecture Search with the Training-Free Performance Metric Synaptic Flow by Vo, An, Pham, Tan Ngoc, Nguyen, Van Bich, Luong, Ngoc Hoang

“…Neural architecture search (NAS) with naive problem formulations and applications of conventional search algorithms often incur prohibitive search costs due to the evaluations of many candidate architectures…”
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Multiobjective Estimation of Distribution Algorithm Based on Joint Modeling of Objectives and Variables by Karshenas, Hossein, Santana, Roberto, Bielza, Concha, Larranaga, Pedro

“…This paper proposes a new multiobjective estimation of distribution algorithm (EDA) based on joint probabilistic modeling of objectives and variables…”
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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 which is of particular interest for many…”
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Combining multi-step reconfiguration with many-objective reduction as iterative bi-level scheduling for stochastic distribution network by Li, J.Y., Chen, J.J., Wang, Y.X., Chen, W.G.

“… In the lower level, a many-objective reduction optimization model is presented to enhance the economy and stability of stochastic distribution network, based on the topology derived in the upper level…”
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Aggregate meta-models for evolutionary multiobjective and many-objective optimization: Advanced Theory and Methodology in Intelligent Computing: Selected papers from the Seventh International Conference on Intelligent Computing (ICIC 2011) by PILAT, Martin, NERUDA, Roman

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Machine learning based decision support for many-objective optimization problems : Bridging Machine learning and Evolutionary Computation (BMLEC) by DURO, João A, DHISH KUMAR SAXENA, DEB, Kalyanmoy, QINGFU ZHANG

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MOEA/D + uniform design: A new version of MOEA/D for optimization problems with many objectives: Emergent Nature Inspired Algorithms for Multi-Objective Optimization by TAN, Yan-Yan, JIAO, Yong-Chang, HONG LI, WANG, Xin-Kuan

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Fuzzy-Dominance and Its Application in Evolutionary Many Objective Optimization by Gaoping Wang, Huawei Jiang

“…This paper studies the fuzzification of the Pareto dominance relation and its application to the design of Evolutionary Many-Objective Optimization algorithms…”
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MB-GNG: Addressing drawbacks in multi-objective optimization estimation of distribution algorithms by Martí, Luis, García, Jesús, Berlanga, Antonio, Coello Coello, Carlos A., Molina, José M.

“…) and show that some of their, as yet overlooked, characteristics render most current MOEDAs unviable when addressing optimization problems with many objectives…”
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A New Fuzzy Dominance GA Applied to Solve Many-Objective Optimization Problem by Gaoping Wang, JianJun Wu

“…This paper studies the fuzzification of the Pareto dominance relation and its application to the design of evolutionary many-objective optimization algorithms…”
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