( en | de | ru )

 

Disambiguation of "Michalewicz, Zbigniew"

Author of the publication

copydeleteadd this publication to your clipboard
How to solve it : modern heuristics

. Springer, Berlin New York, (2004)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Zbigniew Jerzak

Zbigniew Niedzielski

Zbigniew Kaniewski

Zbigniew Slaczka

Zbigniew Cichowicz

 

Other publications of authors with the same name

An analysis of adaptive windowing for time series forecasting in dynamic environments: further tests of the DyFor GP model., and . GECCO, page 1657-1664. ACM, (2008)A Genetic Algorithm for Statistical Database Security., , and . IEEE Data Eng. Bull., 13 (3): 19-26 (1990)Evolutionary Computation: Practical Issues.. International Conference on Evolutionary Computation, page 30-39. IEEE, (1996)Genetic Algorithms + Data Structures = Evolution Programs, Third Revised and Extended Edition.. Springer, (1996)Evolutionary Computation: One Project, Many Directions., , and . ISMIS, volume 1079 of Lecture Notes in Computer Science, page 189-201. Springer, (1996)Evolutionary Domain Covering of an Inference System for Function Approximation., , and . Evolutionary Programming, volume 1447 of Lecture Notes in Computer Science, page 167-178. Springer, (1998)Quo Vadis, Evolutionary Computation? - On a Growing Gap between Theory and Practice.. WCCI, volume 7311 of Lecture Notes in Computer Science, page 98-121. Springer, (2012)Benchmarks for the Coal Processing and Blending Problem., , and . GECCO, page 1005-1012. ACM, (2016)Adaptive and Self-adaptive Techniques for Evolutionary Forecasting Applications Set in Dynamic and Uncertain Environments., and . Foundations of Computational Intelligence (4), volume 204 of Studies in Computational Intelligence, Springer, (2009)The travelling thief problem: The first step in the transition from theoretical problems to realistic problems., , and . IEEE Congress on Evolutionary Computation, page 1037-1044. IEEE, (2013)