Výsledky vyhledávání - "Evolutionary multiobjective optimization algorithms"

Impact of Number of Interactions, Different Interaction Patterns, and Human Inconsistencies on Some Hybrid Evolutionary Multiobjective Optimization Algorithms Autor Marquis, Jon, Gel, Esma S., Fowler, John W., Köksalan, Murat, Korhonen, Pekka, Wallenius, Jyrki

“…ABSTRACT We investigate the impact of the number of human–computer interactions, different interaction patterns, and human inconsistencies in decision maker…”
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MIJ2K Optimization using evolutionary multiobjective optimization algorithms Autor Bustamante, Alvaro Luis, Molina López, José M., Patricio, Miguel A.

“…► MOEAs are used in a video compression optimization. ► Quality and compression ratio are presented as competing objectives. ► Five decision variables or…”
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Application and comparison of hybrid evolutionary multiobjective optimization algorithms for solving task scheduling problem on heterogeneous systems Autor Chitra, P., Rajaram, R., Venkatesh, P.

“…Task scheduling problem in heterogeneous systems (TSPHS) is a multiobjective optimization problem (MOP). Multiobjective evolutionary algorithms (MOEA) are well…”
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Performance evaluation of evolutionary multiobjective optimization algorithms for multiobjective fuzzy genetics-based machine learning Autor Ishibuchi, Hisao, Nakashima, Yusuke, Nojima, Yusuke

“…Recently, evolutionary multiobjective optimization (EMO) algorithms have been utilized for the design of accurate and interpretable fuzzy rule-based systems…”
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Indicator-based Selection in Evolutionary Multiobjective Optimization Algorithms Based On the Desirability Index Autor Trautmann, Heike, Wagner, Tobias, Biermann, Dirk, Weihs, Claus

“…ABSTRACT In multiobjective optimization, the identification of practically relevant solutions on the Pareto‐optimal front is an important research topic…”
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Benchmarking evolutionary multiobjective optimization algorithms Autor Mersmann, O, Trautmann, H, Naujoks, B, Weihs, C

“… We will focus on evolutionary multiobjective optimization algorithms (EMOA), and will present a novel approach to the design and analysis of evolutionary…”
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Multiobjective ResNet pruning by means of EMOAs for remote sensing scene classification Autor Liu, Xuning, Zhou, Yong, Zhao, Jiaqi, Yao, Rui, Liu, Bing, Ma, Ding, Zheng, Yi

“… In this work, we propose a random filter pruning method by means of evolutionary multiobjective optimization algorithms to accelerate the Siamese ResNet-50 for remote sensing scene classification…”
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Optimal prediction intervals for macroeconomic time series using chaos and evolutionary multi-objective optimization algorithms Autor Sarveswararao, Vangala, Ravi, Vadlamani, Huq, Shaik Tanveer Ul

“…In a first-of-its-kind study, this paper formulates the problem of estimating the prediction intervals (PIs) in a macroeconomic time series as a bi-objective…”
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R2 indicator based evolutionary multiobjective optimization algorithms and applications Autor Phan, Dung Huy

“… Recently, Evolutionary Multiobjective Optimization Algorithms (EMOAs) have been found to be effective means of solving such problems…”
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Challenges for evolutionary multiobjective optimization algorithms in solving variable-length problems Autor Hui Li, Deb, Kalyanmoy

“…In recent years, research interests have been paid in solving real-world optimization problems with variable-length representation. For population-based…”
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A Service-Oriented Architecture for Body Area NanoNetworks with Neuron-based Molecular Communication Autor Suzuki, Junichi, Balasubramaniam, Sasitharan, Pautot, Sophie, Perez Meza, Victor Didier, Koucheryavy, Yevgeni

“…Molecular communication provides communication and networking capabilities for nanomachines such as biosensors and bio-actuators to form and enable Body Area…”
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Choosing extreme parents for diversity improvement in evolutionary multiobjective optimization algorithms Autor Ishibuchi, H., Tsukamoto, N., Nojima, Y.

“…It has been demonstrated in the literature that a similarity-based mating scheme can increase the diversity of solutions in evolutionary multiobjective…”
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Late Parallelization and Feedback Approaches for Distributed Computation of Evolutionary Multiobjective Optimization Algorithms Autor Altinoz, O. Tolga, Deb, Kalyanmoy

“…Distributing of the multiobjective optimization algorithm into various devices in a parallel fashion is a method for speeding up the computation time of the…”
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An evolutionary multiobjective optimization algorithms framework with algorithm adaptive selection Autor Dan Wang, Hai-lin Liu, Fangqing Gu

“… This means that there is no EMO algorithm can be regards as a panacea. Therefore, we propose an evolutionary multiobjective optimization algorithm with algorithm adaptive selection…”
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Boosting Indicator-Based Selection Operators for Evolutionary Multiobjective Optimization Algorithms Autor Phan, D. H., Suzuki, J.

“…Various evolutionary multiobjective optimization algorithms (EMOAs) have adopted indicator-based selection operators that augment or replace dominance ranking with quality indicators…”
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Evolutionary multiobjective optimization algorithms with path relinking for Bi-Orienteering problem Autor Purevsuren, Dalaijargal, Gang Cui, ur Rehman, Saif

“…In this paper, we present two hybridization schemes of interactive Evolutionary Multi-objective Optimization Algorithms with Path Relinking technique. By…”
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Effects of Discretization of Decision and Objective Spaces on the Performance of Evolutionary Multiobjective Optimization Algorithms Autor Chen, Weiyu, Ishibuchi, Hisao, Shang, Ke

“…Recently, the discretization of decision and objective spaces has been discussed in the literature. In some studies, it is shown that the decision space…”
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Search ability of evolutionary multiobjective optimization algorithms for multiobjective fuzzy genetics-based machine learning Autor Ishibuchi, H., Nakashima, Y., Nojima, Y.

“…Recently evolutionary multiobjective optimization (EMO) algorithms have been actively used for the design of accurate and interpretable fuzzy rule-based…”
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Modification of Evolutionary Multiobjective Optimization Algorithms for Multiobjective Design of Fuzzy Rule-Based Classification Systems Autor Narukawa, K., Nojima, Y., Ishibuchi, H.

“…We examine three methods for improving the ability of evolutionary multiobjective optimization (EMO) algorithms to find a variety of fuzzy rule-based…”
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Comparison of local search implementation schemes in hybrid evolutionary multiobjective optimization algorithms Autor Ishibuchi, H., Narukawa, K.

“…We compare two implementation schemes of local search in hybrid evolutionary multiobjective optimization algorithms…”
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