The entire research area of Genetic Algorithms, as well as that of Evolutionary Computing, was inspired by Darwin's theory of natural selection and survival of the fittest. Genetic Algorithms are problem-solving programs that try to mimic the way large populations solve problems over a long period of time, through processes such as reproduction, mutation, and natural selection. To emulate the natural phenomenon of evolution, a Genetic Algorithm program creates a population of candidate solutions to a particular problem, and through a process of random selection and variation, each generation of the program improves upon the quality of the solution.
Consequently, Genetic Algorithms promote the evolution of solutions by using genetically based processes. Unlike natural evolution, the program is usually able to generate and evaluate thousands of generations in seconds.
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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