go(bench): add MaxNeighbourVariancePercent
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@ -12,6 +12,9 @@ const (
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// Neighbourhood is the number of neighbouring values that are to be
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// Neighbourhood is the number of neighbouring values that are to be
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// generated as part of e.g. Stochastic Hill Climbing algo.
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// generated as part of e.g. Stochastic Hill Climbing algo.
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Neighbourhood = 10
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Neighbourhood = 10
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// MaxNeighbourVariancePercent covers an arbitrary task requirement: pick
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// neighbours from max n percent of search space.
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MaxNeighbourVariancePercent = 10
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// MaxFES is the maximum number of allowed function evaluations.
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// MaxFES is the maximum number of allowed function evaluations.
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MaxFES = 10000
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MaxFES = 10000
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)
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)
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