Three recent random search algorithms are compared on the basis of efficiency, and on the basis of sensitivity to noise, scaling and the number of variables. A general discussion of random search methods points out their advantages and disadvantages in relation to deterministic methods. A new random vector generator is described in the appendix.Applied Science, Faculty ofElectrical and Computer Engineering, Department ofGraduat
This paper studies the classical dictionary problem using a self-adjusting linear list. We designed ...
Absiraci-Fixed step size random search for minimization of functions of several parameters is descri...
In this thesis, we also use what are called the uniform heuristic search, the partial uniform heuris...
Three recent random search algorithms are compared on the basis of efficiency, and on the basis of s...
It is difficult to evaluate a random search algorithms, because regardless of a chosen method of eff...
Abstract:- This paper studies the efficiency of the random search reported by Ru-binstein [1] and wi...
A theoretical technique for the minimization of a function by a random search is presented. The sear...
The typical difficulty of various NP-hard problems varies with simple parameters describing their st...
SIGLEAvailable from TIB Hannover: F96B1069 / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Techni...
The use of randomness in local search is a widespread technique applied to improve algorithm perform...
UnrestrictedAn algorithm can be defined as a set of computational steps that transform the input to ...
The system reliability optimization is secured through a simple random search process useful for a l...
Includes bibliographical references (page 19)An implementation of a new random based search algorith...
We address the generic problem of random search for a point-like target on a line. Using the measure...
AbstractThere is a developing theory of growing power which, at its current stage of development (in...
This paper studies the classical dictionary problem using a self-adjusting linear list. We designed ...
Absiraci-Fixed step size random search for minimization of functions of several parameters is descri...
In this thesis, we also use what are called the uniform heuristic search, the partial uniform heuris...
Three recent random search algorithms are compared on the basis of efficiency, and on the basis of s...
It is difficult to evaluate a random search algorithms, because regardless of a chosen method of eff...
Abstract:- This paper studies the efficiency of the random search reported by Ru-binstein [1] and wi...
A theoretical technique for the minimization of a function by a random search is presented. The sear...
The typical difficulty of various NP-hard problems varies with simple parameters describing their st...
SIGLEAvailable from TIB Hannover: F96B1069 / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Techni...
The use of randomness in local search is a widespread technique applied to improve algorithm perform...
UnrestrictedAn algorithm can be defined as a set of computational steps that transform the input to ...
The system reliability optimization is secured through a simple random search process useful for a l...
Includes bibliographical references (page 19)An implementation of a new random based search algorith...
We address the generic problem of random search for a point-like target on a line. Using the measure...
AbstractThere is a developing theory of growing power which, at its current stage of development (in...
This paper studies the classical dictionary problem using a self-adjusting linear list. We designed ...
Absiraci-Fixed step size random search for minimization of functions of several parameters is descri...
In this thesis, we also use what are called the uniform heuristic search, the partial uniform heuris...