Fitness landscape analysis and memetic algorithms for the quadratic assignment problem
By P. Merz, Bernd Freisleben. IEEE Transactions on Evolutionary Computation, 2000
464 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computational Theory and Mathematics
View Paper: https://www.semanticscholar.org/paper/afa55b385cbad794504015916142c013248326c1
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Paolo Rocca
- Carlos Cotta
- Andrea Massa
- Thomas Stützle
- Davide Franceschini
- Matteo Pastorino
- Massimo Donelli
- Ferrante Neri
In Computational Theory and Mathematics
- Paolo Rocca
- Carlos Cotta
- Andrea Massa
- Thomas Stützle
- Matteo Pastorino
- Massimo Donelli
- Ferrante Neri
- Holger H. Hoos
Citations in the corpus
- Memetic algorithms and memetic computing optimization: A literature review (2012, background): “Other combinatorial problems have also been tackled by MAs; for example in [130, 134] the Quadratic Assignment Problem (QAP), in [132] and [135] the Graph Bi-partitioning Problem, in [227] the supply chain problem, and in [51] the communication spanning tree.”
- Evolutionary optimization as applied to inverse scattering problems (2009, methodology): “From an algorithmic point of view [103, 109], the processing of an idea is simulated by means of a deterministic procedure and its propagation and/or evolution with a stochastic GA-based, or more generally EA-based, technique according to the flow chart shown in figure 5.”
- Iterated local search for the quadratic assignment problem (2006, methodology): “Average computation times (measured over 30 trials per instance) for the memetic algorithm of [33] to optimal or pseudo-optimal”
- Stochastic Optimization Methods Applied to Microwave Imaging: A Review (2007, background): “The memetic algorithm (MA) [22], [52] is another EA that has been proposed for imaging applications.”