| 41. | Some measures of performance indicate how well search algorithms do at optimization of the objective function.
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| 42. | The goal of the objective function is to minimize the difference between the predicted and observed data.
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| 43. | The gradient of the objective function is:
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| 44. | More formally, let \ gamma ^ * be the optimal objective function value for any restricted instance.
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| 45. | Where is the vector of k criterion functions ( objective functions ) and is the feasible set,.
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| 46. | Are there any better objective functions I could seek to maximise other than number of constraints satisfied?
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| 47. | The concept of a fitness function ( or objective function ) is central to artificial life systems.
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| 48. | The objective function to be maximized is:
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| 49. | This is an SDP because the objective function and constraints are all linear functions of vector inner products.
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| 50. | So different researchers have been working on solving this equation by adding other constraints in the objective function.
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