  A hybrid optimization technique coupling evolutionary and local search algorithmsKelner, Vincent  ; Capitanescu, Florin ; Léonard, Olivier et alin Journal of Computational & Applied Mathematics (2008), 215(2), 448-456 Evolutionary Algorithms are robust and powerful global optimization techniques for solving large scale problems that have many local optima. However, they require high CPU times, and they are very poor in ... [more ▼] Evolutionary Algorithms are robust and powerful global optimization techniques for solving large scale problems that have many local optima. However, they require high CPU times, and they are very poor in terms of convergence performance. On the other hand, local search algorithms can converge in a few iterations but lack a global perspective. The combination of global and local search procedures should offer the advantages of both optimization methods while offsetting their disadvantages. This paper proposes a new hybrid optimization technique that merges a Genetic Algorithm with a local search strategy based on the Interior Point method. The efficiency of this hybrid approach is demonstrated by solving a constrained multi-objective mathematical test-case. [less ▲] Detailed reference viewed: 40 (13 ULg) Cycle Optimization of a Turbine Engine: an Approach Based on Genetic AlgorithmsBorguet, Sébastien ; Kelner, Vincent ; Léonard, Olivier in Proceedings od the 7th Belgian Congress on Theoretical and Applied Mechanics (2006, May) Multi-objective optimization is performed of a turbofan. The objectives are to minimize the Specific Fuel Consumption at cruise conditions, as well as to maximize the Specific Thrust during the take-off ... [more ▼] Multi-objective optimization is performed of a turbofan. The objectives are to minimize the Specific Fuel Consumption at cruise conditions, as well as to maximize the Specific Thrust during the take-off phase. Three design variables have been selected: the by-pass ratio, the fan pressure ratio, and the high pressure compressor pressure ratio. The backbones of the optimization approach consist of a genetic algorithm and a modular gas turbine simulation tool. [less ▲] Detailed reference viewed: 32 (3 ULg)A hybrid optimization technique coupling an evolutionary and a local search algorithmKelner, Vincent ; Capitanescu, Florin ; Léonard, Olivier et alin Journal of Computational & Applied Mathematics (2006), 215(2), 281-287 Evolutionary algorithms are robust and powerful global optimization techniques for solving large-scale problems that have many local optima. However, they require high CPU times, and they are very poor in ... [more ▼] Evolutionary algorithms are robust and powerful global optimization techniques for solving large-scale problems that have many local optima. However, they require high CPU times, and they are very poor in terms of convergence performance. On the other hand, local search algorithms can converge in a few iterations but lack a global perspective. The combination of global and local search procedures should offer the advantages of both optimization methods while offsetting their disadvantages. This paper proposes a new hybrid optimization technique that merges a genetic algorithm with a local search strategy based on the interior point method. The efficiency of this hybrid approach is demonstrated by solving a constrained multi-objective mathematical test-case. [less ▲] Detailed reference viewed: 37 (5 ULg)Multi-Objective Optimization of a Fan Blade by Coupling a Genetic Algorithm and a Parametric Flow SolverKelner, Vincent ; ; Léonard, Olivier et alin Proceedings of EUROGEN'05 (2005, September) Detailed reference viewed: 28 (0 ULg)Robust Design of a Fan Blade by Coupling Multi Objective Genetic Optimization and Flow ParameterizationKelner, Vincent ; ; Léonard, Olivier et alin Proccedings od the International Congress on Fluid Dynamics Applications in Ground Transportation (2005) Detailed reference viewed: 25 (1 ULg)Application of genetic algorithms to lubrication pump stacking designKelner, Vincent ; Léonard, Olivier in Journal of Computational and Applied Mathematics (2004), 168(1-févr Sp. Iss. SI), 255-265 Sizing a pump stacking used in an aircraft lubrication system is a challenging task. The combination of several pumps, in parallel and in a single casing, must deliver specified oil flow rates, on a ... [more ▼] Sizing a pump stacking used in an aircraft lubrication system is a challenging task. The combination of several pumps, in parallel and in a single casing, must deliver specified oil flow rates, on a variable number of circuits, and under given flight conditions. Furthermore, the optimal assembly has to minimize overall dimensions, weight and cost. This optimization problem involves a large space search, continuous and discrete variables and multi-objectives. Genetic Algorithms (GA)-stochastic search methods that mimic the metaphor of natural biological evolution-seem well suited to solve that kind of problems. A new GA is proposed. The efficiency of this GA is first demonstrated in solving various mathematical test-cases and then applied to the industrial problem. (C) 2003 Elsevier B.V. All rights reserved. [less ▲] Detailed reference viewed: 7 (2 ULg)Développement d'algorithmes génétiques et application à des problèmes complexes d'optimisationLéonard, Olivier ; Kelner, Vincent Scientific conference (2003, November 18) Detailed reference viewed: 21 (4 ULg)Optimal Pump Scheduling for Water Supply Using Genetic AlgorithmsKelner, Vincent ; Léonard, Olivier in Proceedings od Eurogen'03 (2003, March) Detailed reference viewed: 70 (1 ULg) |
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