Optimization of Heterogeneous UAV Communications Using the Multiobjective Quadratic Assignment Problem
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Summary
This particular research investigates the optimization of heterogeneous UAV multi-channel communications in formation through the use of a Multiobjective Evolutionary Algorithm (MOEA) called the Multiobjectives Messy Genetic Algorithm - II (MOMGA-II).
- Type
- book
- Published
- 2012-12-06
- Cited by
- 1
- References
- 119
- OpenAlex
- https://openalex.org/W305990982
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:107481150
Keywords
Multi-objective optimization, Variety (cybernetics), Computer science, Block (permutation group theory), Mathematical optimization
References
- Messy Genetic Algorithms Revisited: Studies in Mixed Size and Scale
- Quadratic Assignment and Related Problems
- Genetic Algorithms and Walsh Functions: Part II, Deception and Its Analysis
- A Hybrid Genetic Algorithm for the Quadratic Assignment Problem
- OMEGA - Ordering Messy GA: Solving Permutation Problems with the Fast Genetic Algorithm and Random Keys
- Wireless LAN Design Using Hierarchical Genetic Algorithm
- A Genetic Local Search Approach to the Quadratic Assignment Problem
- Hierarchical Problem Solving and the Bayesian Optimization Algorithm
- Multi-Objective Learning via Genetic Algorithms
- A Multiobjective Approach Applied to the Protein Structure Prediction Problem
- Métaheuristiques parallèles hybrides : application au problème d'affection quadratique
- Solving the multi-objective quadratic assignment problem using a fast messy genetic algorithm
- Solving the Protein Structure Prediction Problem With Fast Messy Genetic Algorithms (Scaling the Fast Messy Genetic Algorithm to Medium-Sized Peptides by Detecting Secondary Structures)
- QAPLIB – A Quadratic Assignment Problem Library
- Evolutionary algorithms for multiobjective optimization: methods and applications
- A bilinear programming solution to the quadratic assignment problem
- Scalable Parallel Computing: Technology, Architecture, Programming
- Solving the generalised quadratic assignment problem using a self-organising process
- Search, polynomial complexity, and the fast messy genetic algorithm
- Fault Tolerant Design Using Single and Multicriteria Genetic Algorithm Optimization.
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