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http://deepblue.lib.umich.edu/bitstream/2027.42/4042/5/bab9712.0001.001.pdfhttp://deepblue.lib.umich...
Three recent random search algorithms are compared on the basis of efficiency, and on the basis of s...
We revisit the classical algorithms for searching over sorted sets to introduce an algorithm refinem...
Absiraci-Fixed step size random search for minimization of functions of several parameters is descri...
Conventional random search techniques take a lot of time to reach optimum-like solutions. Thus, rand...
In this paper, a new random search technique which facilitates the determination of the global minim...
In this paper a non-deterministic minimization algorithm is presented. A common feature of random se...
AbstractIn this paper a nondeterministic minimization algorithm is presented. A common feature of ra...
The typical difficulty of various NP-hard problems varies with simple parameters describing their st...
Abstract. In the context of numerical optimization, this paper develops a methodology to ana-lyze th...
Randomized search heuristics are a broadly used class of general-purpose algorithms. Analyzing them ...
International audienceThis paper analyzes a (1, λ)-Evolution Strategy, a randomized comparison-based...
PhDComputer scienceUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepbl...
This dissertation is motivated by the problem of finding a global minimizer or a feasible argument f...
http://deepblue.lib.umich.edu/bitstream/2027.42/4950/5/bac2356.0001.001.pdfhttp://deepblue.lib.umich...
http://deepblue.lib.umich.edu/bitstream/2027.42/4042/5/bab9712.0001.001.pdfhttp://deepblue.lib.umich...
Three recent random search algorithms are compared on the basis of efficiency, and on the basis of s...
We revisit the classical algorithms for searching over sorted sets to introduce an algorithm refinem...
Absiraci-Fixed step size random search for minimization of functions of several parameters is descri...
Conventional random search techniques take a lot of time to reach optimum-like solutions. Thus, rand...
In this paper, a new random search technique which facilitates the determination of the global minim...
In this paper a non-deterministic minimization algorithm is presented. A common feature of random se...
AbstractIn this paper a nondeterministic minimization algorithm is presented. A common feature of ra...
The typical difficulty of various NP-hard problems varies with simple parameters describing their st...
Abstract. In the context of numerical optimization, this paper develops a methodology to ana-lyze th...
Randomized search heuristics are a broadly used class of general-purpose algorithms. Analyzing them ...
International audienceThis paper analyzes a (1, λ)-Evolution Strategy, a randomized comparison-based...
PhDComputer scienceUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepbl...
This dissertation is motivated by the problem of finding a global minimizer or a feasible argument f...
http://deepblue.lib.umich.edu/bitstream/2027.42/4950/5/bac2356.0001.001.pdfhttp://deepblue.lib.umich...
http://deepblue.lib.umich.edu/bitstream/2027.42/4042/5/bab9712.0001.001.pdfhttp://deepblue.lib.umich...
Three recent random search algorithms are compared on the basis of efficiency, and on the basis of s...
We revisit the classical algorithms for searching over sorted sets to introduce an algorithm refinem...