Titlebook: Bilevel Optimization; Advances and Next Ch Stephan Dempe,Alain Zemkoho Book 2020 Springer Nature Switzerland AG 2020 Algorithms for linear

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https://doi.org/10.1007/978-94-007-4954-2sfies a constraint qualification for all possible upper-level decisions. Replacing the lower-level optimization problem by its first-order conditions results in a mathematical program with equilibrium constraints (MPEC) that needs to be solved. We review the relationship between the MPEC and bilevel

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Isotope-Based Quantum Informationnging search and optimization problems. In this chapter, we discuss recent population-based evolutionary algorithms for solving different types of bilevel optimization problems, as they pose numerous challenges to an optimization algorithm. Evolutionary bilevel optimization (EBO) algorithms are gain