Crossover can guarantee exponential speed-ups in evolutionary multi-objective optimisation

Cites Work

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Crossover can provably be useful in evolutionary computation
From black-box complexity to designing new genetic algorithms
An analysis on recombination in multi-objective evolutionary optimization
Real royal road functions for constant population size
Analyzing different variants of immune inspired somatic contiguous hypermutations
Simplified drift analysis for proving lower bounds in evolutionary computation
Toward a unifying framework for evolutionary processes
The \((1+\lambda)\) evolutionary algorithm with self-adjusting mutation rate
Optimal static and self-adjusting parameter choices for the \((1+(\lambda ,\lambda ))\) genetic algorithm
A study of drift analysis for estimating computation time of evolutionary algorithms
The analysis of evolutionary algorithms -- A proof that crossover really can help
Black-box search by unbiased variation
Optimal parameter choices via precise black-box analysis
Tight bounds on the expected runtime of a standard steady state genetic algorithm
Design and analysis of diversity-based parent selection schemes for speeding up evolutionary multi-objective optimisation
Memetic algorithms outperform evolutionary algorithms in multimodal optimisation
Artificial immune systems can find arbitrarily good approximations for the NP-hard number partitioning problem
On easiest functions for mutation operators in bio-inspired optimisation
Real royal road functions -- where crossover provably is essential
The one-dimensional Ising model: mutation versus recombination
Fixed-parameter tractability of crossover: steady-state GAs on the closest string problem
When move acceptance selection hyper-heuristics outperform metropolis and elitist evolutionary algorithms and when not
Focused jump-and-repair constraint handling for fixed-parameter tractable graph problems closed under induced subgraphs
Black-box Complexity of Parallel Search with Distributed Populations
Hyper-Heuristics: An Emerging Direction in Modern Search Technology
Theory of Evolutionary Computation
A runtime analysis of simple hyper-heuristics

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