FindDec Standard
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FindDec StandardDeveloper’s Description
FindDec standard solves maximum/minimum optimization problems with a genetic algorithm. The number of variables must be no more than 70. FindDec can find optimal solutions to problems which are “unsolvable” for standard linear and non-linear optimizers. FindDec is an application for optimization of system of functions (searching of maximum or minimumFindDec standard solves maximum/minimum optimization problems with a genetic algorithm. The number of variables must be no more than 70. FindDec can find optimal solutions to problems which are “unsolvable” for standard linear and non-linear optimizers. FindDec is an application for optimization of system of functions (searching of maximum or minimum).
A registration key is a one-of-a-kind ID generated by the FME Licensing Assistant from system data. It's Safe's way of limiting a single fixed license to a single computer.
2: What is a registration key number?
A registration key is a code of letters and numbers that allows access to one of the many Thomson Reuters products, such as Westlaw, CLEAR, Firm Central, and more.
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Each person will create an individual user account by entering the customer's account number, an online registration key (available from your local dealer), and basic billing and shipping address information. The account administrator will be the first account created.
Requirements:
Windows 95/98/Me/NT/2000/XP/2003 Server/Vista
Limitations:
20-days/99-runs trial
FindDec standard Description
FindDec Standard solves maximum/minimum optimization ploblems. FindDec Standard uses modified genetic algorithm technology to quickly solve complex optimization problems in finance, distribution, resource allocation, scheduling, budgeting, manufacturing, engineering, etc.. FindDec Standard can find optimal solutions to problems which are unsolvable for standard linear and non-linear optimizers. FindDec can find optimal solutions to virtually any type of problem, from the simple to the most complex; it finds not only global optimums, and also local optimums. FindDec Standard is useful and efficient when: ■ the method of an accurate decision does not know ■ the method of an accurate decision knows, but it is very difficult to implement ■ the exact optimum is not required, and the decision may be any value, which is more a set value ■ the search space is large, complex or poorly understood ■ traditional search methods fail Genetic algorithm is a method that reflects the natural evolution of problem solving. Genetic algorithms are search procedures, based on natural selection and inheritance. They used the evolutionary principle of survival of the fittest individuals. They differ from traditional methods of optimization of several basic elements. In particular, genetic algorithms : ■ the process is not the number of the task itself, and their coded form ■ the search for solutions is not a single point, and some of their populations use only the objective function, not its derivatives or other additional information ■ apply probabilistic rather than deterministic choice FindDec Standard allows you to use 70 variables. [b]Limitations:[/b] ■ 20 days or 99 uses trial
FindDec Professional 1.0 Build 1.77 Description:
FindDec Professional solves maximum/minimum optimization ploblems.
FindDec Professional uses modified genetic algorithm technology to quickly solve complex optimization problems in finance, distribution, resource allocation, scheduling, budgeting, manufacturing, engineering, etc..
FindDec Professional can find optimal solutions to problems which are unsolvable for standard linear and non-linear optimizers. FindDec can find optimal solutions to virtually any type of problem, from the simple to the most complex; it finds not only global optimums, and also local optimums.
FindDec Professional is useful and efficient when:
· the method of an accurate decision does not know
· the method of an accurate decision knows, but it is very difficult to implement
· the exact optimum is not required, and the decision may be any value, which is more a set value
· the search space is large, complex or poorly understood
· traditional search methods fail
Genetic algorithm is a method that reflects the natural evolution of problem solving. Genetic algorithms are search procedures, based on natural selection and inheritance.
They used the evolutionary principle of survival of the fittest individuals. They differ from traditional methods of optimization of several basic elements.
In particular, genetic algorithms :
· the process is not the number of the task itself, and their coded form
· the search for solutions is not a single point, and some of their populations
use only the objective function, not its derivatives or other additional information
· apply probabilistic rather than deterministic choice
FindDec Professional allows you to use 150 variables.
FindDec Professional 1.0 Build 1.77 Limitations:
· 20 days or 99 uses trial
FindDec Professional security information
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