There is a growing number of studies on general purpose metaheuristics that are directly applicable to multiple domains. Parameter setting is a particular issue considering that many of such search methods come with a set of parameters to be configured. Fuzzy logic has been used extensively in control applications and is known for its ability to handle uncertainty. In this study, we investigate the potential of using fuzzy systems to control the parameter settings of a threshold accepting (TA) metaheuristic for improving the overall effectiveness of a cross-domain approach. We have evaluated the performance of various general purpose local search metaheuristics ...
The main benefits of fuzzy logic control (FLC) allow a qualitative knowledge of the desired system’s...
<div>Finding the appropriate values of parameters</div><div>and structure of type-2 fuzzy logic syst...
In the design of control systems, the tuning of controller parameters has a fundamental role in the ...
There is a growing number of studies on general purpose metaheuristics that are directly...
Metaheuristic algorithms are solution approaches to solve optimization problems by repeating some al...
Finding good parameter values for meta-heuristics is known as the parameter setting problem. A new p...
Metaheuristics provide high-level instructions for designing heuristic optimisation algorithms and h...
Metaheuristics usually have algorithmic parameters whose initial settings can influence their search...
A traditional iterative selection hyper-heuristic which manages a set of low level heuristics relies...
Growing popularity of the Bat Algorithm has encouraged researchers to focus their work on its furthe...
This study proposes a new fuzzy adaptive Charged System Search (CSS) for global optimization. The su...
International audienceThis paper presents a method to encapsulate parameters of evolutionary algorit...
Two main concepts are established in the literature for the Parameter Setting Problem (PSP) of metah...
Phishing attack is a well-known cyber security attack that happens to many people around the world. ...
The objective of this work is focused on improving the optimization ability of the cuckoo search alg...
The main benefits of fuzzy logic control (FLC) allow a qualitative knowledge of the desired system’s...
<div>Finding the appropriate values of parameters</div><div>and structure of type-2 fuzzy logic syst...
In the design of control systems, the tuning of controller parameters has a fundamental role in the ...
There is a growing number of studies on general purpose metaheuristics that are directly...
Metaheuristic algorithms are solution approaches to solve optimization problems by repeating some al...
Finding good parameter values for meta-heuristics is known as the parameter setting problem. A new p...
Metaheuristics provide high-level instructions for designing heuristic optimisation algorithms and h...
Metaheuristics usually have algorithmic parameters whose initial settings can influence their search...
A traditional iterative selection hyper-heuristic which manages a set of low level heuristics relies...
Growing popularity of the Bat Algorithm has encouraged researchers to focus their work on its furthe...
This study proposes a new fuzzy adaptive Charged System Search (CSS) for global optimization. The su...
International audienceThis paper presents a method to encapsulate parameters of evolutionary algorit...
Two main concepts are established in the literature for the Parameter Setting Problem (PSP) of metah...
Phishing attack is a well-known cyber security attack that happens to many people around the world. ...
The objective of this work is focused on improving the optimization ability of the cuckoo search alg...
The main benefits of fuzzy logic control (FLC) allow a qualitative knowledge of the desired system’s...
<div>Finding the appropriate values of parameters</div><div>and structure of type-2 fuzzy logic syst...
In the design of control systems, the tuning of controller parameters has a fundamental role in the ...