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Definitions (15)
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ant colony optimization
Population-based stochastic global optimization algorithm based on the behavior of ant colonies, particularly their ability to collectively determine shortest paths through the cumulative affect of ph [..]
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automatic differentiation
A process for evaluating derivatives of a function that depends only on an algorithmic specification of the function, such as a computer program.
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constraint
Restriction that a design variables must satisfy, typically denoted in a mathematical program standard form as an inequality, g(x) <= 0, or equality, h(x)=0.
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genetic algorithm
Population-based stochastic global optimization algorithm inspired by the mechanisms of genetics, evolution, and survival of the fittest.
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global maximum
A feasible solution that maximizes (or minimizes) the value of the objective function over the entire design space feasible region.
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global optimizer
Optimization method that implements an algorithm that is designed to find a globally optimal solution for various kinds of nonconvex programming problems.
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local maximum
A feasible solution that maximizes (or minimizes) the value of the objective function within a local neighborhood of that solution.
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lower bound
A constraint that specifies a minimum feasible value of an individual design variable.
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numerical optimization
Mathematical techniques and procedures used to make a system or design as effective and/or functional as possible
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objective function
The (real-valued) function to be optimized, typically denoted in a mathematical program standard form as f.
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