Results 31 to 40 of about 644,441 (293)
Dynamic Multi-Objective Optimization With jMetal and Spark: a Case Study [PDF]
, 2016 Technologies for Big Data and Data Science are receiving increasing research interest nowadays. This paper introduces the prototyping architecture of a tool aimed to solve Big Data Optimization problems.
C Coello +9 more
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Journal of Applied Research on Industrial Engineering, 2018 The design of Renewable Energy Power Plants (REPPs) is crucial not only for the investments' performance and attractiveness measures, but also for the maximization of resource (source) usage (e.g.
Burak Omer Saracoglu +1 more
doaj +1 more source
Quality Measures of Parameter Tuning for Aggregated Multi-Objective Temporal Planning [PDF]
, 2013 Parameter tuning is recognized today as a crucial ingredient when tackling an optimization problem. Several meta-optimization methods have been proposed to find the best parameter set for a given optimization algorithm and (set of) problem instances ...
Dréo, Johann +4 more
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A multi-objective DIRECT algorithm for ship hull optimization [PDF]
, 2017 The paper is concerned with black-box nonlinear constrained multi-objective optimization problems. Our interest is the definition of a multi-objective deterministic partition-based algorithm. The main target of the proposed algorithm is the solution of a
Campana, E. F. +7 more
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International Journal of Computational Intelligence Systems, 2022 The constrained optimization problems can be transformed into multi-objective optimization problems, and thus can be optimized by multi-objective evolutionary algorithms.
Xinsheng Lai
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Hybrid behavioural-based multi-objective space trajectory optimization [PDF]
, 2009 In this chapter we present a hybridization of a stochastic based search approach for multi-objective optimization with a deterministic domain decomposition of the solution space.
Vasile, Massimiliano
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Multi-objective optimization for supply chain management problem: A literature review [PDF]
Decision Science Letters, 2016 Multi-objective optimization is an optimization problem with some conflicting objectives to be attained, simultanously. This paper reviewed literature about multi-objective optimization problems for supply chain management.
Trisna Trisna +3 more
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Ergonomic Chair Design by Fusing Qualitative and Quantitative Criteria using Interactive Genetic Algorithms [PDF]
, 2008 This paper emphasizes the necessity of formally bringing qualitative and quantitative criteria of ergonomic design together, and provides a novel complementary design framework with this aim. Within this framework, different design criteria are viewed
Brintrup, Alexandra Melike +2 more
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Scalarizing Functions in Bayesian Multiobjective Optimization [PDF]
, 2019 Scalarizing functions have been widely used to convert a multiobjective optimization problem into a single objective optimization problem. However, their use in solving (computationally) expensive multi- and many-objective optimization problems in ...
Chugh, Tinkle
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Multi-objective Discrete Combinatorial Optimization Algorithm Combining Problem-Decomposition and Adaptive Large Neighborhood Search [PDF]
Jisuanji kexue yu tansuoIn order to efficiently obtain solutions for large-scale multi-objective optimization problems in reality, to achieve a balance among convergence, diversity, and uniformity has gradually become one of the important goals in multi-objective optimization ...
WEI Qian, JI Bin
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