Results 261 to 270 of about 815,587 (296)

Multi-objective evolutionary GAN

Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, 2020
Generative Adversarial Network (GAN) is a generative model proposed to imitate real data distributions. The original GAN algorithm has been found to be able to achieve excellent results for the image generation task, but it suffers from problems such as instability and mode collapse.
Marco Baioletti, Carlos Artemio Coello Coello, Gabriele Di Bari, Valentina Poggioni   +3 more
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Multi-objective NM-Landscapes

Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation, 2015
In this paper we propose an extension of the NM-landscape to model multi-objective problems (MOPs). We illustrate the link between the introduced model and previous landscapes used to study MOPs. Empirical results are presented for a variety of configurations of the multi-objective NM-landscapes.
Roberto Santana 0001, Alexander Mendiburu, José Antonio Lozano 0001   +2 more
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Multi-Objective Interactive Programming

Journal of the Operational Research Society, 1980
This paper proposes a method for finding optimal, or near optimal, solutions for problems involving m objective functions, where there is an overall criterion which is a weighted sum of the m objective functions, but where the weights are, initially, unknown.
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Multi Objective Symbolic Regression

2016
Symbolic regression has been a popular technique for some time. Systems typically evolve using a single objective fitness function, or where the fitness function is multi-objective the factors are combined using a weighted sum. This work uses a Non Dominated Sorting Strategy to rank the genomes. Using data derived from Swimming turns performed by elite
Chris J. Hinde, Nandini Chakravorti, Andrew A. West   +2 more
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Multi-Objective chimp Optimizer: An innovative algorithm for Multi-Objective problems

Expert Systems with Applications, 2023
Mohammad Khishe, Niloofar Orouji, Mohammad Reza Mosavi   +2 more
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Multi-objective meta-learning

Artificial Intelligence
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Feiyang Ye 0001, Baijiong Lin, Zhixiong Yue, Yu Zhang 0006, Ivor W. Tsang   +4 more
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Multi-objective Visual Odometry

2018
Visual odometry (VO) has been extensively studied in the last decade. Despite a variety of implementation details, the proposed approaches share the same principle - a minimisation of a carefully chosen energy function. In this paper we review four commonly adopted energy models including perspective, epipolar, rigid, and photometric alignments, and ...
Hsiang-Jen Chien, Jr-Jiun Lin, Tang-Kai Yin, Reinhard Klette   +3 more
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On Multi-Objective Evolutionary Algorithms

2010
In this chapter Multi-Objective Evolutionary Algorithms (MOEAs) are introduced and some details discussed. It starts by giving a presentation of some of the concepts in which this type of algorithms are based on, in order to address the multi-objective nature of the real-world problems. Then, a summary of the main algorithms behind these approaches and
Fontes, Dalila B. M. M., Gaspar-Cunha, A.   +1 more
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Multi-Objective Factored Evolutionary Optimization and the Multi-Objective Knapsack Problem

2022 IEEE Congress on Evolutionary Computation (CEC), 2022
Amy Peerlinck, John Sheppard 0001
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Parallel Multi-Objective Evolutionary Algorithm for Constrained Multi-Objective Optimization

2023 24th International Arab Conference on Information Technology (ACIT), 2023
Leyla Belaiche, Laid Kahloul, Maroua Grid, Nedjma Abidallah, Saber Benharzallah   +4 more
openaire   +1 more source