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[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]Re: [tlug] genetic algorithm/optimization framework
- Date: Fri, 29 Apr 2016 01:44:28 +0900
- From: "Stephen J. Turnbull" <stephen@example.com>
- Subject: Re: [tlug] genetic algorithm/optimization framework
- References: <20160427222225.fcdb36d543326580f701d5a5@kinali.ch> <20160427133932.223654a7@sakura> <20160428094937.ec87240ac79f98bd60d86867@kinali.ch> <20160428092551.2c8ad2ee@sakura>
Lars Kotthoff writes: > Most of these will only optimize for a single objective, but you > may be able to combine your multiple objectives into a single > one. You can always map the efficiency frontier at the cost of multiple optimization runs by optimizing various linear combinations of the objectives, typically starting with the "corners" (each objective by itself) and the "middle" (equal weight on all objectives). That might be too expensive in Attila's use case, of course, but it's a simple approach when throwing machine cycles at the problem is cheaper than burning neurons on it. I gather he's in a situation where he's burning neurons, but if some single-objective method proves efficient for his problem, he might be able to go back to burning cycles. :-)
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