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Dominance measures for multi-objective simulated annealing

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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/(sici)1099-1360(199801)7:1<34::aid-mcda161>3.0.co;2-6openalex-snapshot
Pareto simulated annealing—a metaheuristic technique for multiple‐objective combinatorial optimization
inferredcites →https://doi.org/10.1002/(sici)1099-1360(199907)8:4<221::aid-mcda247>3.0.co;2-oopenalex-snapshot
MOSA method: a tool for solving multiobjective combinatorial optimization problems
inferredcites →https://doi.org/10.1007/3-540-36970-8_37openalex-snapshot
The Measure of Pareto Optima Applications to Multi-objective Metaheuristics
inferredcites →https://doi.org/10.1007/3-540-44719-9_15openalex-snapshot
Inferential Performance Assessment of Stochastic Optimisers and the Attainment Function
inferredcites →https://doi.org/10.1007/3-540-45356-3_83openalex-snapshot
A Fast Elitist Non-dominated Sorting Genetic Algorithm for Multi-objective Optimization: NSGA-II
inferredcites →https://doi.org/10.1007/978-1-4612-2666-6_29openalex-snapshot
Simulated Annealing for Multi Objective Optimization Problems
inferredcites →https://doi.org/10.1007/bf01197559openalex-snapshot
A closer look at drawbacks of minimizing weighted sums of objectives for Pareto set generation in multicriteria optimization problems
inferredcites →https://doi.org/10.1007/bf03325101openalex-snapshot
A Comprehensive Survey of Evolutionary-Based Multiobjective Optimization Techniques
inferredcites →https://doi.org/10.1023/a:1009678314795openalex-snapshot
Pareto Simulated Annealing for Fuzzy Multi-Objective Combinatorial Optimization
inferredcites →https://doi.org/10.1080/02664769300000058openalex-snapshot
Stochastic relaxation, Gibbs distributions and the Bayesian restoration of images*
inferredcites →https://doi.org/10.1080/03052150008940911openalex-snapshot
A SIMULATED ANNEALING ALGORITHM FOR MULTIOBJECTIVE OPTIMIZATION
inferredcites →https://doi.org/10.1109/cec.2002.1007032openalex-snapshot
Scalable multi-objective optimization test problems
inferredcites →https://doi.org/10.1109/tevc.2003.810733openalex-snapshot
Using unconstrained elite archives for multiobjective optimization
inferredcites →https://doi.org/10.1109/tpami.1984.4767596openalex-snapshot
Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
inferredcites →https://doi.org/10.1126/science.220.4598.671openalex-snapshot
Optimization by Simulated Annealing
inferredcites →https://doi.org/10.1162/106365600568158openalex-snapshot
Multiobjective Evolutionary Algorithms: Analyzing the State-of-the-Art
inferredcites →https://doi.org/10.21236/ada441037openalex-snapshot
The Measure of Pareto Optima: Applications to Multiobjective Metaheuristics
inferredcites →https://doi.org/10.3929/ethz-a-003856832openalex-snapshot
Evolutionary algorithms for multiobjective optimization: methods and applications

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inferred← citeshttps://doi.org/10.2139/ssrn.4757706openalex-extracted
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inferred← citeshttps://doi.org/10.1002/9781119488767.biblioopenalex-snapshot
Bibliography
inferred← citeshttps://doi.org/10.1002/apj.4openalex-snapshot
Multiobjective optimization of the dynamic operation of an industrial steam reformer using the jumping gene adaptations of simulated annealing
inferred← citeshttps://doi.org/10.1007/0-387-25786-1_5openalex-snapshot
Techniques in Global Optimal Design for MEMS & Their Applications
inferred← citeshttps://doi.org/10.1007/11353379_19openalex-snapshot
Evolution of Complexity
inferred← citeshttps://doi.org/10.1007/3-540-33019-4_5openalex-snapshot
Regression Error Characteristic Optimisation of Non-Linear Models
inferred← citeshttps://doi.org/10.1007/978-1-4020-6668-9_4openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-1-4419-6050-4_9openalex-snapshot
Partially Deterministic Mobility
inferred← citeshttps://doi.org/10.1007/978-3-319-06508-3_15openalex-snapshot
Multi-Objective Genetic Algorithms for Chemical Engineering Applications
inferred← citeshttps://doi.org/10.1007/978-3-642-30157-5_62openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-642-30504-7_42openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-642-32451-2_2openalex-snapshot
Some Single- and Multiobjective Optimization Techniques
inferred← citeshttps://doi.org/10.1007/978-3-642-40255-5_1openalex-snapshot
Introduction
inferred← citeshttps://doi.org/10.1007/s00158-007-0132-4openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10115-017-1065-xopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10479-013-1517-yopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10694-021-01120-2openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10852-010-9123-3openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s12597-020-00489-yopenalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.asoc.2009.05.005openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.compchemeng.2006.12.012openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.compchemeng.2010.08.004openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cor.2021.105306openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ejor.2019.11.024openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.enconman.2009.11.022openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.engstruct.2025.121261openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.fuel.2020.119678openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.future.2017.08.056openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ijepes.2018.02.018openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ins.2007.09.029openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ins.2010.03.021openalex-snapshot
C-PSA: Constrained Pareto simulated annealing for constrained multi-objective optimization
inferred← citeshttps://doi.org/10.1016/j.ins.2010.09.026openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ins.2015.01.018openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ins.2018.05.013openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jmsy.2015.11.001openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.knosys.2018.11.004openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/access.2015.2461156openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/access.2020.2981141openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/access.2021.3106487openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/access.2022.3186696openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/cec.2008.4631013openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/cec.2010.5586124openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/cec45853.2021.9504899openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/cec48606.2020.9185823openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/estmed.2008.4696986openalex-snapshot
Robust optimization of SoC architectures: A multi-scenario approach
inferred← citeshttps://doi.org/10.1109/his.2008.45openalex-snapshot
A Simulated Annealing Algorithm for Single Objective Trans-Dimensional Optimization Problems
inferred← citeshttps://doi.org/10.1109/icsamos.2008.4664858openalex-snapshot
An efficient design space exploration methodology for multiprocessor SoC architectures based on response surface methods
inferred← citeshttps://doi.org/10.1109/isda.2005.15openalex-snapshot
A summary-attainment-surface plotting method for visualizing the performance of stochastic multiobjective optimizers
inferred← citeshttps://doi.org/10.1109/mace.2011.5987210openalex-snapshot
Notice of Retraction: Multiobjective evolutionary algorithms applied to compressor stations network optimization scheduling control system
inferred← citeshttps://doi.org/10.1109/tevc.2005.851274openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tevc.2007.900837openalex-snapshot
A Simulated Annealing-Based Multiobjective Optimization Algorithm: AMOSA
inferred← citeshttps://doi.org/10.1109/tevc.2007.904345openalex-snapshot
Dominance-Based Multiobjective Simulated Annealing
inferred← citeshttps://doi.org/10.1109/tevc.2008.917202openalex-snapshot
A Multiobjective Evolutionary-Simplex Hybrid Approach for the Optimization of Differential Equation Models of Gene Networks
inferred← citeshttps://doi.org/10.1109/tla.2018.8444392openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tsmcb.2007.896015openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tsmcc.2010.2088390openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/vlsi.design.2009.67openalex-snapshot
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inferred← citeshttps://doi.org/10.1142/s0219622021500322openalex-snapshot
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inferred← citeshttps://doi.org/10.11606/d.3.2016.tde-01022016-172642openalex-snapshot
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inferred← citeshttps://doi.org/10.1162/evco_a_00038openalex-snapshot
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inferred← citeshttps://doi.org/10.1186/s12859-020-03810-0openalex-snapshot
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inferred← citeshttps://doi.org/10.22436/jnsa.009.06.19openalex-snapshot
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inferred← citeshttps://doi.org/10.24275/uami.8w32r563ropenalex-snapshot
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inferred← citeshttps://doi.org/10.26083/tuprints-00001224openalex-snapshot
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inferred← citeshttps://doi.org/10.3233/fi-2010-237openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/a16060283openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/a17100433openalex-snapshot
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inferred← citeshttps://doi.org/10.35925/j.multi.2020.2.50openalex-snapshot
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inferred← citeshttps://doi.org/10.4018/978-1-4666-7258-1.ch016openalex-snapshot
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inferred← citeshttps://doi.org/10.4304/jsw.7.10.2333-2340openalex-snapshot
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inferred← citeshttps://doi.org/10.48550/arxiv.1706.03141openalex-snapshot
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inferred← citeshttps://doi.org/10.5019/j.ijcir.2007.115openalex-snapshot
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inferred← citeshttps://doi.org/10.5772/5558openalex-snapshot
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inferred← citeshttps://doi.org/10.5784/33-2-562openalex-snapshot
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inferred← citeshttps://doi.org/10.7166/27-2-1502openalex-snapshot
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inferred← citeshttps://doi.org/10.7166/29-2-1867openalex-snapshot
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inferred← citeshttps://doi.org/10.7287/peerj-cs.338v0.1/reviews/2openalex-snapshot
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Multi-objective simulated annealing for hyper-parameter optimization in convolutional neural networks
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