{"id":18667,"date":"2026-08-29T10:59:11","date_gmt":"2026-08-29T00:59:11","guid":{"rendered":"https:\/\/geoffreychen.com\/local-optima-can-trap-stepwise-improvement\/"},"modified":"2026-10-10T19:37:20","modified_gmt":"2026-10-10T08:37:20","slug":"local-optima-can-trap-stepwise-improvement","status":"publish","type":"post","link":"https:\/\/geoffreychen.com\/zh\/local-optima-can-trap-stepwise-improvement\/","title":{"rendered":"\u5c40\u90e8\u6700\u4f18\uff1a\u4e3a\u4ec0\u4e48\u6bcf\u4e00\u6b65\u53d8\u597d\u4e5f\u53ef\u80fd\u9519\u8fc7\u6700\u597d\uff1f"},"content":{"rendered":"<\/p>\n<p><img data-recalc-dims=\"1\" decoding=\"async\" src=\"https:\/\/i0.wp.com\/public-assets.geoffreychen.com\/wordpress\/articles\/local-optima-can-trap-stepwise-improvement\/fd093fd602258a7786a463f8.jpg?w=1140&#038;ssl=1\" alt=\"\u5c40\u90e8\u6700\u4f18\uff1a\u4e3a\u4ec0\u4e48\u6bcf\u4e00\u6b65\u53d8\u597d\u4e5f\u53ef\u80fd\u9519\u8fc7\u6700\u597d\uff1f\" loading=\"lazy\"><\/p>\n<p>\u5c40\u90e8\u6700\u4f18\uff0c\u662f\u5728\u5f53\u524d\u53ef\u6bd4\u8f83\u7684\u90bb\u8fd1\u9009\u62e9\u4e2d\u5df2\u7ecf\u6ca1\u6709\u66f4\u597d\u7b54\u6848\uff0c\u4f46\u653e\u5230\u66f4\u5927\u8303\u56f4\u91cc\uff0c\u5b83\u672a\u5fc5\u6700\u597d\u3002<\/p>\n<p>\u60f3\u8c61\u5728\u6d53\u96fe\u4e2d\u722c\u5c71\uff1a\u4f60\u6bcf\u4e00\u6b65\u90fd\u9009\u62e9\u6700\u9661\u7684\u4e0a\u5761\uff0c\u6700\u540e\u4f1a\u62b5\u8fbe\u4e00\u4e2a\u5c71\u9876\uff1b\u53ef\u8fdc\u5904\u4e5f\u8bb8\u8fd8\u6709\u66f4\u9ad8\u7684\u5c71\u3002\u56e0\u4e3a\u4e0b\u5761\u770b\u8d77\u6765\u6682\u65f6\u53d8\u5dee\uff0c\u53ea\u5141\u8bb8\u6b65\u6b65\u6539\u5584\u7684\u65b9\u6cd5\u4fbf\u65e0\u6cd5\u79bb\u5f00\u773c\u524d\u5c71\u5934\u3002\u8d77\u70b9\u4e0d\u540c\uff0c\u62b5\u8fbe\u7684\u5cf0\u9876\u4e5f\u53ef\u80fd\u4e0d\u540c\u3002<\/p>\n<p>\u5c40\u90e8\u6700\u4f18\u4e0d\u7b49\u4e8e\u9009\u62e9\u9519\u8bef\u3002\u8bb8\u591a\u73b0\u5b9e\u95ee\u9898\u4e0d\u53ef\u80fd\u7a77\u5c3d\u5168\u90e8\u65b9\u6848\uff0c\u4e00\u4e2a\u8db3\u591f\u597d\u7684\u5c40\u90e8\u7b54\u6848\u5e38\u6709\u5b9e\u9645\u4ef7\u503c\u3002\u5b83\u4e5f\u4e0d\u540c\u4e8e\u8def\u5f84\u4f9d\u8d56\uff1a\u8def\u5f84\u4f9d\u8d56\u5f3a\u8c03\u8fc7\u53bb\u5982\u4f55\u6539\u53d8\u5f53\u524d\u9009\u62e9\u6210\u672c\uff1b\u5c40\u90e8\u6700\u4f18\u5f3a\u8c03\u8bc4\u4ef7\u8303\u56f4\u592a\u8fd1\uff0c\u4f7f\u7ee7\u7eed\u6539\u5584\u9700\u8981\u5148\u63a5\u53d7\u77ed\u6682\u9000\u6b65\u3002\u8fd9\u4e2a\u6982\u5ff5\u63d0\u9192\u6211\u4eec\uff0c\u8fdb\u6b65\u4e0d\u80fd\u53ea\u770b\u4e0b\u4e00\u6b65\uff0c\u8fd8\u8981\u68c0\u67e5\u641c\u7d22\u8303\u56f4\u3001\u8d77\u70b9\u548c\u662f\u5426\u5141\u8bb8\u63a2\u7d22\u3002<\/p>\n<p><a href=\"https:\/\/inst.eecs.berkeley.edu\/~cs188\/textbook\/search\/local.html\" rel=\"nofollow\">https:\/\/inst.eecs.berkeley.edu\/~cs188\/textbook\/search\/local.html<\/a><\/p>\n<div class=\"roadly-philosophy-promotion\">\n<hr>\n<p><a href=\"https:\/\/apps.apple.com\/app\/id6815896028\" target=\"_blank\" rel=\"noopener\"><img data-recalc-dims=\"1\" decoding=\"async\" src=\"https:\/\/i0.wp.com\/geoffreychen.com\/wp-content\/uploads\/2026\/10\/roadly-philosophy-app-icon-1.jpg?resize=72%2C72&#038;ssl=1\" alt=\"Roadly Philosophy\" width=\"72\" height=\"72\" style=\"display:block;width:72px;height:72px;border-radius:16px;\" loading=\"lazy\"><\/a><\/p>\n<p><strong>Roadly Philosophy<\/strong><\/p>\n<p>\u60f3\u6362\u4e00\u79cd\u65b9\u5f0f\u63a5\u89e6\u54f2\u5b66\uff1f\u8bd5\u8bd5\u6211\u5f00\u53d1\u7684 iPhone \u54f2\u5b66\u6e38\u620f Roadly Philosophy\u3002<\/p>\n<p><a href=\"https:\/\/apps.apple.com\/app\/id6815896028\" aria-label=\"\u5728 App Store \u4e0b\u8f7d: Roadly Philosophy\" style=\"display:inline-block;padding:12px 0;\" target=\"_blank\" rel=\"noopener\"><img data-recalc-dims=\"1\" decoding=\"async\" src=\"https:\/\/i0.wp.com\/geoffreychen.com\/wp-content\/uploads\/2026\/10\/roadly-app-store-badge-zh-cn-hires.png?resize=150%2C50&#038;ssl=1\" alt=\"\u5728 App Store \u4e0b\u8f7d\" width=\"150\" height=\"50\" style=\"display:block;width:150px;height:50px;max-width:100%;border:0;\" loading=\"lazy\"><\/a><\/p>\n<\/div>\n<p>","protected":false},"excerpt":{"rendered":"","protected":false},"author":17897162,"featured_media":0,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_coblocks_attr":"","_coblocks_dimensions":"","_coblocks_responsive_height":"","_coblocks_accordion_ie_support":"","_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_geoff_meta_description_en":"Explains how stepwise improvement can stop at a local optimum, using a foggy hill climb to show how starting points and limited search shape 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