In this paper the fitness landscape of a simulation optimisation problem is analysed within the metaheuristic optimisation framework HeuristicLab. Computational experiments are performed within an application prototype of a link between the model of a vehicle scheduling problem and the optimisation framework. Modern fitness landscape analysis approaches implemented in the HeuristicLab framework are applied and described. New insights are gained in the field of fitness landscapes analysis for stochastic problems. Application of fitness landscape analysis in simulation optimisation for meta-optimisation purposes is also considered in this paper. Comprehensive fitness landscape analysis of different instances of one type of optimisation proble...
Optimierungsalgorithmen finden vielfach Anwendung bei Planungs- und Steuerungsaufgaben. Im Betrieb v...
Fitness landscape analysis for optimisation is a technique that involves analysing black-box optimis...
International audienceThe proper setting of algorithm parameters is a well-known issue that gave ris...
Widespread hard optimisation problems in economics and logistics are characterised by large dimensio...
Widespread hard optimisation problems in economics and logistics are characterised by large dimensio...
The research is dedicated to the development of methods and algorithms for a simulation-based fitnes...
Simulation-based analysis of fitness landscapes with application to the vehicle scheduling problem w...
Various techniques of fitness landscape analysis for the determination of hardness of optimisation p...
The paper presents simulation optimisation methodology and tools for the vehicle scheduling problem ...
Various techniques of fitness landscape analysis for the determination of optimisation problem hardn...
Data-driven optimization problems such as clustering provide a real-world representative source of i...
International audienceBlack-box optimization of a previously unknown problem can often prove to be a...
Abstract. A significant challenge in nature-inspired algorithmics is the identification of specific ...
This manuscript presents some of my research activities I have conducted as assistant researcher ("m...
A significant challenge in nature-inspired algorithmics is the identification of specific characteri...
Optimierungsalgorithmen finden vielfach Anwendung bei Planungs- und Steuerungsaufgaben. Im Betrieb v...
Fitness landscape analysis for optimisation is a technique that involves analysing black-box optimis...
International audienceThe proper setting of algorithm parameters is a well-known issue that gave ris...
Widespread hard optimisation problems in economics and logistics are characterised by large dimensio...
Widespread hard optimisation problems in economics and logistics are characterised by large dimensio...
The research is dedicated to the development of methods and algorithms for a simulation-based fitnes...
Simulation-based analysis of fitness landscapes with application to the vehicle scheduling problem w...
Various techniques of fitness landscape analysis for the determination of hardness of optimisation p...
The paper presents simulation optimisation methodology and tools for the vehicle scheduling problem ...
Various techniques of fitness landscape analysis for the determination of optimisation problem hardn...
Data-driven optimization problems such as clustering provide a real-world representative source of i...
International audienceBlack-box optimization of a previously unknown problem can often prove to be a...
Abstract. A significant challenge in nature-inspired algorithmics is the identification of specific ...
This manuscript presents some of my research activities I have conducted as assistant researcher ("m...
A significant challenge in nature-inspired algorithmics is the identification of specific characteri...
Optimierungsalgorithmen finden vielfach Anwendung bei Planungs- und Steuerungsaufgaben. Im Betrieb v...
Fitness landscape analysis for optimisation is a technique that involves analysing black-box optimis...
International audienceThe proper setting of algorithm parameters is a well-known issue that gave ris...