2018
DOI: 10.15622/sp.60.3
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Method of Multiobjective Optimization of Controlled Systems with Distributed Parameters

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Cited by 5 publications
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“…for minimization of N I criteria according to (8) subject to the constraints (9) for the a priori value ε 0 of the error of uniform approximation, fixed according to the conditions of inequalities ε0maxjε0j. This formulation excludes the trivial case of coincidence of solutions of problems (8) and (9) for each of the criteria I j ( p ̄) for all j=1, NItrue¯ (Rapoport and Pleshivtseva, 2018).…”
Section: General Formulation Of the Multi-objective-optimization Problemsmentioning
confidence: 99%
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“…for minimization of N I criteria according to (8) subject to the constraints (9) for the a priori value ε 0 of the error of uniform approximation, fixed according to the conditions of inequalities ε0maxjε0j. This formulation excludes the trivial case of coincidence of solutions of problems (8) and (9) for each of the criteria I j ( p ̄) for all j=1, NItrue¯ (Rapoport and Pleshivtseva, 2018).…”
Section: General Formulation Of the Multi-objective-optimization Problemsmentioning
confidence: 99%
“…First, the application of various modifications of genetic algorithms (GA) that differ from each other in population aggregation methods for particular efficiency criteria in combination with modern methods of numerical simulation of optimized processes are considered. Second, the alternance method and MOO technique based on optimal control theory are considered and tested based on field analysis code developed in finite element method (FEM) software (Pleshivtseva et al , 2017a; Rapoport and Pleshivtseva, 2018; Pleshivtseva et al , 2017b).…”
Section: Main Approaches For Multi-objective Optimization Problem Solutionmentioning
confidence: 99%
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