Journal Article10.1007/s13748-022-00283-5
A model-based many-objective evolutionary algorithm with multiple reference vectors
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TL;DR: A new inverse model-based evolutionary algorithm with multiple reference vectors in order to exact place of possible Pareto front and then a collection of the exact places of vectors are produced which ultimately leads to the proper guide of diversity and convergence of population.
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About: This article is published in Progress in Artificial Intelligence. The article was published on 10 Jun 2022. The article focuses on the topics: Computer science & Evolutionary algorithm.
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Citations
Optimization System Design of Building Internal Structure Based on Multi-Objective Evolutionary Algorithm
28 Dec 2022
TL;DR: Wang et al. as discussed by the authors proposed a multi-objective evolutionary algorithm for the optimization of the internal structure of construction enterprises, which can maximize the efficiency in construction engineering by using genetic algorithm and establish a mathematical model combining particle swarm intelligence theory.
Optimization System Design of Building Internal Structure Based on Multi-Objective Evolutionary Algorithm
Dong-Sheng Xu,Yishuang Liu +1 more
- 28 Dec 2022
TL;DR: Wang et al. as discussed by the authors proposed a multi-objective evolutionary algorithm for the optimization of the internal structure of construction enterprises, which can maximize the efficiency in construction engineering by using genetic algorithm and establish a mathematical model combining particle swarm intelligence theory.
Reconciling Inconsistent Preference Information in Group Multicriteria Decision Support with Reference Sets
TL;DR: This article proposes an algorithm to reconcile inconsistent expert recommendations in group multicriteria decision support, transforming arbitrary reference points into a consistent set through aggregation and regularization operations, illustrated with a real-life example in content-based multimedia retrieval.
References
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TL;DR: The gaussian processes for machine learning is universally compatible with any devices to read, and is available in the digital library an online access to it is set as public so you can get it instantly.
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Gaussian processes in machine learning
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Normal-Boundary Intersection: A New Method for Generating the Pareto Surface in Nonlinear Multicriteria Optimization Problems
Indraneel Das,John E. Dennis +1 more
TL;DR: In this paper, an alternate method for finding several Pareto optimal points for a general nonlinear multicriteria optimization problem is proposed, which can handle more than two objectives while retaining the computational efficiency of continuation-type algorithms.
A review of multiobjective test problems and a scalable test problem toolkit
TL;DR: This paper systematically review and analyze many problems from the EA literature, each belonging to the important class of real-valued, unconstrained, multiobjective test problems, and presents a flexible toolkit for constructing well-designed test problems.