The time complexity of maximum matching by simulated annealing
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On the analysis of the (1+ 1) evolutionary algorithm
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An O(v|v| c |E|) algoithm for finding maximum matching in general graphs
SFCS '80 Proceedings of the 21st Annual Symposium on Foundations of Computer Science
Bounds for the convergence rate of randomized local search in a multiplayer load-balancing game
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GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Minimum spanning trees made easier via multi-objective optimization
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Rigorous runtime analysis of a (μ+1)ES for the sphere function
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
On the Choice of the Offspring Population Size in Evolutionary Algorithms
Evolutionary Computation
Probabilistic runtime analysis of (1 +, λ),ES using isotropic mutations
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Maximum cardinality matchings on trees by randomized local search
Proceedings of the 8th annual conference on Genetic and evolutionary computation
How the (1 + 1) ES using isotropic mutations minimizes positive definite quadratic forms
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Algorithmic analysis of a basic evolutionary algorithm for continuous optimization
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On the runtime analysis of the 1-ANT ACO algorithm
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Proceedings of the 9th annual conference on Genetic and evolutionary computation
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Evolutionary algorithms and matroid optimization problems
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Rigorous analyses of simple diversity mechanisms
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Speeding up evolutionary algorithms through asymmetric mutation operators
Evolutionary Computation
Expected runtimes of evolutionary algorithms for the Eulerian cycle problem
Computers and Operations Research
Computational complexity and evolutionary computation
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Runtime analysis of binary PSO
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Computing minimum cuts by randomized search heuristics
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Memetic algorithms with variable-depth search to overcome local optima
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Theoretical analysis of diversity mechanisms for global exploration
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Rigorous analyses of fitness-proportional selection for optimizing linear functions
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Simplified Drift Analysis for Proving Lower Bounds in Evolutionary Computation
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Analyses of simple hybrid algorithms for the vertex cover problem*
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Computing single source shortest paths using single-objective fitness
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Analysis of a simple evolutionary algorithm for the multiobjective shortest path problem
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Exact Solutions to the Traveling Salesperson Problem by a Population-Based Evolutionary Algorithm
EvoCOP '09 Proceedings of the 9th European Conference on Evolutionary Computation in Combinatorial Optimization
Comparison of simple diversity mechanisms on plateau functions
Theoretical Computer Science
Greedy Local Search and Vertex Cover in Sparse Random Graphs
TAMC '09 Proceedings of the 6th Annual Conference on Theory and Applications of Models of Computation
Fixed-parameter evolutionary algorithms and the vertex cover problem
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Evolutionary algorithms and dynamic programming
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Theoretical analysis of fitness-proportional selection: landscapes and efficiency
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Computational complexity and evolutionary computation
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IEEE Transactions on Evolutionary Computation
Analysis of the (1 + 1)-EA for finding approximate solutions to vertex cover problems
IEEE Transactions on Evolutionary Computation
Analysis of a simple evolutionary algorithm for minimization in euclidean spaces
ICALP'03 Proceedings of the 30th international conference on Automata, languages and programming
Runtime analysis of a binary particle swarm optimizer
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Computational complexity and evolutionary computation
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Genetic Programming and Evolvable Machines
Practical performance models of algorithms in evolutionary program induction and other domains
Artificial Intelligence
PPSN'10 Proceedings of the 11th international conference on Parallel problem solving from nature: Part I
Drift analysis with tail bounds
PPSN'10 Proceedings of the 11th international conference on Parallel problem solving from nature: Part I
More effective crossover operators for the all-pairs shortest path problem
PPSN'10 Proceedings of the 11th international conference on Parallel problem solving from nature: Part I
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Approximating covering problems by randomized search heuristics using multi-objective models*
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Evolutionary Computation
Runtime analysis of the 1-ANT ant colony optimizer
Theoretical Computer Science
Free lunches on the discrete Lipschitz class
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Tight analysis of the (1+1)-ea for the single source shortest path problem
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Speeding up evolutionary algorithms through restricted mutation operators
PPSN'06 Proceedings of the 9th international conference on Parallel Problem Solving from Nature
Simulated annealing beats metropolis in combinatorial optimization
ICALP'05 Proceedings of the 32nd international conference on Automata, Languages and Programming
Worst-case and average-case approximations by simple randomized search heuristics
STACS'05 Proceedings of the 22nd annual conference on Theoretical Aspects of Computer Science
On the approximation ability of evolutionary optimization with application to minimum set cover
Artificial Intelligence
Rigorous runtime analysis of the (1+1) ES: 1/5-rule and ellipsoidal fitness landscapes
FOGA'05 Proceedings of the 8th international conference on Foundations of Genetic Algorithms
Analysis of an iterated local search algorithm for vertex cover in sparse random graphs
Theoretical Computer Science
Runtime analysis of a simple ant colony optimization algorithm
ISAAC'06 Proceedings of the 17th international conference on Algorithms and Computation
The use of tail inequalities on the probable computational time of randomized search heuristics
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Bioinspired computation in combinatorial optimization: algorithms and their computational complexity
Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
More effective crossover operators for the all-pairs shortest path problem
Theoretical Computer Science
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Proceedings of the twelfth workshop on Foundations of genetic algorithms XII
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Bioinspired computation in combinatorial optimization: algorithms and their computational complexity
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IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
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Randomized search heuristics like evolutionary algorithms are mostly applied to problems whose structure is not completely known but also to combinatorial optimization problems. Practitioners report surprising successes but almost no results with theoretically well-founded analyses exist. Such an analysis is started in this paper for a fundamental evolutionary algorithm and the well-known maximum matching problem. It is proven that the evolutionary algorithm is a polynomial-time randomized approximation scheme (PRAS) for this optimization problem, although the algorithm does not employ the idea of augmenting paths. Moreover, for very simple graphs it is proved that the expected optimization time of the algorithm is polynomially bounded and bipartite graphs are constructed where this time grows exponentially.