We introduce a classifying measure of fitness landscapes - the density of states - for continuous and discrete problems, especially optimisation of sequences and graphs. By means of the Boltzmann strategy we obtain a simple algorithm to calculate the density of states for a given problem. Knowing the density of states we are able to approximate the optimal fitness value of the problem which makes it feasible to assess the effectivity of practical optimisations
We investigate theoretically how the fitness landscape influences the optimization process of popula...
The fitness landscape of the travelling salesman problem is investigated for 11 different types of t...
The research is dedicated to the development of methods and algorithms for a simulation-based fitnes...
Graph-colouring is one of the best-known combinatorial optimisation problems. This paper provides a ...
Various techniques of fitness landscape analysis for the determination of hardness of optimisation p...
The fitness landscape of MAX-3-SAT is investigated for random instances above the satisfiability pha...
Stochastic optimisers such as Evolutionary Algorithms, Estimation of Distribution Algorithm are suit...
International audienceFitness landscape analysis is a well-established tool for gaining insights abo...
The traditional way of tackling discrete optimization problems is by using local search on suitably ...
A significant challenge in nature-inspired algorithmics is the identification of specific characteri...
Abstract. A significant challenge in nature-inspired algorithmics is the identification of specific ...
Characterization of trajectory structure of fitness landscapes is a major problem of evolutionary co...
Various techniques of fitness landscape analysis for the determination of optimisation problem hardn...
This paper carries out a comparison of the fitness landscape for four classic optimization problems:...
International audienceOne of the most commonly-used metaphors to describe the process of heuristic s...
We investigate theoretically how the fitness landscape influences the optimization process of popula...
The fitness landscape of the travelling salesman problem is investigated for 11 different types of t...
The research is dedicated to the development of methods and algorithms for a simulation-based fitnes...
Graph-colouring is one of the best-known combinatorial optimisation problems. This paper provides a ...
Various techniques of fitness landscape analysis for the determination of hardness of optimisation p...
The fitness landscape of MAX-3-SAT is investigated for random instances above the satisfiability pha...
Stochastic optimisers such as Evolutionary Algorithms, Estimation of Distribution Algorithm are suit...
International audienceFitness landscape analysis is a well-established tool for gaining insights abo...
The traditional way of tackling discrete optimization problems is by using local search on suitably ...
A significant challenge in nature-inspired algorithmics is the identification of specific characteri...
Abstract. A significant challenge in nature-inspired algorithmics is the identification of specific ...
Characterization of trajectory structure of fitness landscapes is a major problem of evolutionary co...
Various techniques of fitness landscape analysis for the determination of optimisation problem hardn...
This paper carries out a comparison of the fitness landscape for four classic optimization problems:...
International audienceOne of the most commonly-used metaphors to describe the process of heuristic s...
We investigate theoretically how the fitness landscape influences the optimization process of popula...
The fitness landscape of the travelling salesman problem is investigated for 11 different types of t...
The research is dedicated to the development of methods and algorithms for a simulation-based fitnes...