Much like Genetic Algorithms and the whole field of Evolutionary Computation, Evolution Strategies are based on the biological process of evolution to find an optimal solution to a complex problem. Evolution Strategies were invented in 1963 when two students at the Technical University of Berlin collaborated on an optimisation experiment at the Institute of Flow Engineering.
During wind tunnel testing they wanted to find the optimal shape of bodies in a flow, which was then a matter of laborious intuitive experimentation. One of the students, Ingo Rechenberg, now a Professor of Bionics and Evolutionary Engineering at the Technical University of Berlin, hit upon the idea of following the example of biological mutation by trying random changes in the parameters defining the shape. The second student, Hans-Paul Schwefel, now the Director of the Informatik Centrum Dortmund, set about testing the efficiency of the new method with the help of a supercomputer. From these early experiments, the idea of Evolution Strategies was born.
What our
customers say
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Mr Benno Giuliani |
“We selected SolveIT Software for Integrated Planning of the NCA demand chain as they are experienced in optimising complex and dynamic logistics processes. The NCA coal chain is a key asset in the Xstrata Coal Australia portfolio and is set for significant expansion in coming years. Ensuring we exceed customer expectations through optimisation of value, quality, quantity and cost of XCQ’s coal products is our primary goal, and logistics optimisation initiatives across our systems landscape is a key driver for improved commercial and operational outcomes.”
Transport and Logistics Manager
Xstrata Coal
Xstrata Coal