閬椾紶綆楁硶鍏ラ棬
閬椾紶綆楁硶
閬椾紶綆楁硶錛圙enetic Algorithm, GA錛夋槸榪戝嚑騫村彂灞曡搗鏉ョ殑涓縐嶅喘鏂扮殑鍏ㄥ眬浼樺寲綆楁硶銆?962騫撮湇鍏板痙(Holland)鏁欐巿棣栨鎻愬嚭浜咷A綆楁硶鐨勬濇兂錛屽畠鍊熺敤浜嗕豢鐪熺敓鐗╅仐浼犲鍜岃嚜鐒墮夋嫨鏈虹悊錛岄氳繃鑷劧閫夋嫨銆侀仐浼犮佸彉寮傜瓑浣滅敤鏈哄埗錛屽疄鐜板悇涓釜浣撶殑閫傚簲鎬х殑鎻愰珮銆備粠鏌愮紼嬪害涓婅閬椾紶綆楁硶鏄鐢熺墿榪涘寲榪囩▼榪涜鐨勬暟瀛︽柟寮忎豢鐪熴?/p>
榪欎竴鐐逛綋鐜頒簡鑷劧鐣屼腑"鐗╃珵澶╂嫨銆侀傝呯敓瀛?榪涘寲榪囩▼銆備笌鑷劧鐣岀浉浼鹼紝閬椾紶綆楁硶瀵規眰瑙i棶棰樼殑鏈韓涓鏃犳墍鐭ワ紝瀹冩墍闇瑕佺殑浠呮槸瀵圭畻娉曟墍浜х敓鐨勬瘡涓煋鑹蹭綋榪涜璇勪環,鎶婇棶棰樼殑瑙h〃紺烘垚鏌撹壊浣擄紝騫跺熀浜庨傚簲鍊兼潵閫夋嫨鏌撹壊浣擄紝浣塊傚簲鎬уソ鐨勬煋鑹蹭綋鏈夋洿澶氱殑綣佹畺鏈轟細銆傚湪綆楁硶涓篃鍗蟲槸浠ヤ簩榪涘埗緙栫爜鐨勪覆銆傚茍涓旓紝鍦ㄦ墽琛岄仐浼犵畻娉曚箣鍓嶏紝緇欏嚭涓緹ゆ煋鑹蹭綋錛屼篃鍗蟲槸鍋囪瑙c傜劧鍚庯紝鎶婅繖浜涘亣璁捐В緗簬闂鐨?#8220;鐜”涓紝涔熷嵆涓涓傚簲搴﹀嚱鏁頒腑鏉ヨ瘎浠楓傚茍鎸夐傝呯敓瀛樼殑鍘熷垯錛屼粠涓夋嫨鍑鴻緝閫傚簲鐜鐨勬煋鑹蹭綋榪涜澶嶅埗, 娣樻卑浣庨傚簲搴︾殑涓綋錛屽啀閫氳繃浜ゅ弶錛屽彉寮傝繃紼嬩駭鐢熸洿閫傚簲鐜鐨勬柊涓浠f煋鑹蹭綋緹ゃ傚榪欎釜鏂扮緹よ繘琛屼笅涓杞繘鍖栵紝鑷沖埌鏈閫傚悎鐜鐨勫箋?/p>
閬椾紶綆楁硶宸茬敤浜庢眰瑙e甫鏈夊簲鐢ㄥ墠鏅殑涓浜涢棶棰橈紝渚嬪閬椾紶紼嬪簭璁捐銆佸嚱鏁頒紭鍖栥佹帓搴忛棶棰樸佷漢宸ョ緇忕綉緇溿佸垎綾葷郴緇熴佽綆楁満鍥懼儚澶勭悊鍜屾満鍣ㄤ漢榪愬姩瑙勫垝絳夈?/p>
鏈璇存槑
鐢變簬閬椾紶綆楁硶鏄敱榪涘寲璁哄拰閬椾紶瀛︽満鐞嗚屼駭鐢熺殑鎼滅儲綆楁硶錛屾墍浠ュ湪榪欎釜綆楁硶涓細鐢ㄥ埌寰堝鐢熺墿閬椾紶瀛︾煡璇嗭紝涓嬮潰鏄垜浠皢浼氱敤鏉ョ殑涓浜涙湳璇鏄庯細
涓銆佹煋鑹蹭綋(Chronmosome)
鏌撹壊浣撳張鍙互鍙仛鍩哄洜鍨嬩釜浣?individuals),涓瀹氭暟閲忕殑涓綋緇勬垚浜嗙兢浣?population),緹や綋涓釜浣撶殑鏁伴噺鍙仛緹や綋澶у皬銆?/p>
浜屻佸熀鍥?Gene)
鍩哄洜鏄覆涓殑鍏冪礌錛屽熀鍥犵敤浜庤〃紺轟釜浣撶殑鐗瑰緛銆備緥濡傛湁涓涓覆S錛?011錛屽垯鍏朵腑鐨?錛?錛?錛?榪?涓厓绱犲垎鍒О涓哄熀鍥犮傚畠浠殑鍊肩О涓虹瓑浣嶅熀鍥?Alletes)銆?/p>
涓夈佸熀鍥犲湴鐐?Locus)
鍩哄洜鍦扮偣鍦ㄧ畻娉曚腑琛ㄧず涓涓熀鍥犲湪涓蹭腑鐨勪綅緗О涓哄熀鍥犱綅緗?Gene Position)錛屾湁鏃朵篃綆縐板熀鍥犱綅銆傚熀鍥犱綅緗敱涓茬殑宸﹀悜鍙寵綆楋紝渚嬪鍦ㄤ覆 S錛?101 涓紝0鐨勫熀鍥犱綅緗槸3銆?/p>
鍥涖佸熀鍥犵壒寰佸?Gene Feature)
鍦ㄧ敤涓茶〃紺烘暣鏁版椂錛屽熀鍥犵殑鐗瑰緛鍊間笌浜岃繘鍒舵暟鐨勬潈涓鑷達紱渚嬪鍦ㄤ覆 S=1011 涓紝鍩哄洜浣嶇疆3涓殑1錛屽畠鐨勫熀鍥犵壒寰佸間負2錛涘熀鍥犱綅緗?涓殑1錛屽畠鐨勫熀鍥犵壒寰佸間負8銆?/p>
浜斻侀傚簲搴?Fitness)
鍚勪釜涓綋瀵圭幆澧冪殑閫傚簲紼嬪害鍙仛閫傚簲搴?fitness)銆備負浜嗕綋鐜版煋鑹蹭綋鐨勯傚簲鑳藉姏錛屽紩鍏ヤ簡瀵歸棶棰樹腑鐨勬瘡涓涓煋鑹蹭綋閮借兘榪涜搴﹂噺鐨勫嚱鏁幫紝鍙傚簲搴﹀嚱鏁? 榪欎釜鍑芥暟鏄綆椾釜浣撳湪緹や綋涓浣跨敤鐨勬鐜囥?/p>
鎿嶄綔綆楁硶
闇嶅叞寰?Holland)鏁欐巿鏈鍒濇彁鍑虹殑綆楁硶涔熷彨綆鍗曢仐浼犵畻娉曪紝綆鍗曢仐浼犵畻娉曠殑閬椾紶鎿嶄綔涓昏鏈変笁縐嶏細閫夋嫨(selection)銆佷氦鍙?crossover)銆佸彉寮?mutation)榪欎篃鏄仐浼犵畻娉曚腑鏈甯哥敤鐨勪笁縐嶇畻娉曪細
1錛庨夋嫨(selection)
閫夋嫨鎿嶄綔涔熷彨澶嶅埗鎿嶄綔錛屼粠緹や綋涓寜涓綋鐨勯傚簲搴﹀嚱鏁板奸夋嫨鍑鴻緝閫傚簲鐜鐨勪釜浣撱備竴鑸湴璇達紝閫夋嫨灝嗕嬌閫傚簲搴﹂珮鐨勪釜浣撶箒孌栦笅涓浠g殑鏁扮洰杈冨錛岃岄傚簲搴﹁緝灝忕殑涓綋錛岀箒孌栦笅涓浠g殑鏁扮洰杈冨皯,鐢氳嚦琚窐姹般傛渶閫氬父鐨勫疄鐜版柟娉曟槸杞洏璧?roulette wheel)妯″瀷銆備護Σfi琛ㄧず緹や綋鐨勯傚簲搴﹀間箣鎬誨拰錛宖i琛ㄧず縐嶇兢涓i涓煋鑹蹭綋鐨勯傚簲搴﹀鹼紝瀹冭閫夋嫨鐨勬鐜囨濂戒負鍏墮傚簲搴﹀兼墍鍗犱喚棰漟i錛?#931;fi銆傚涓嬪浘琛ㄤ腑鐨勬暟鎹傚簲鍊兼誨拰Σfi=6650,閫傚簲搴︿負2200鍙橀夋嫨鐨勫彲鑳戒負fi錛?#931;fi=2200/6650=0.394.
鍥?. 杞洏璧屾ā鍨?/font>

Fitness 鍊鹼細 |
2200 |
1800 |
1200 |
950 |
400 |
100 |
閫夋嫨姒傜巼錛?/td>
| 3331 |
0.271 |
0.18 |
0.143 |
0.06 |
0.015 |
銆
2錛庝氦鍙?Crossover)
浜ゅ弶綆楀瓙灝嗚閫変腑鐨勪袱涓釜浣撶殑鍩哄洜閾炬寜涓瀹氭鐜噋c榪涜浜ゅ弶錛屼粠鑰岀敓鎴愪袱涓柊鐨勪釜浣擄紝浜ゅ弶浣嶇疆pc鏄殢鏈虹殑銆傚叾涓璓c鏄竴涓郴緇熷弬鏁般傛牴鎹棶棰樼殑涓嶅悓錛屼氦鍙夊張涓轟簡鍗曠偣浜ゅ弶綆楀瓙錛圫ingle Point Crossover錛夈佸弻鐐逛氦鍙夌畻瀛愶紙Two Point Crossover錛夈佸潎鍖浜ゅ弶綆楀瓙 (Uniform Crossover)錛屽湪姝ゆ垜浠彧璁ㄨ鍗曠偣浜ゅ弶鐨勬儏鍐點?/p>
鍗曠偣浜ゅ弶鎿嶄綔鐨勭畝鍗曟柟寮忔槸灝嗚閫夋嫨鍑虹殑涓や釜涓綋S1鍜孲2浣滀負鐖舵瘝涓綋錛屽皢涓よ呯殑閮ㄥ垎鍩哄洜鐮佸艱繘琛屼氦鎹€傚亣璁懼涓嬩袱涓?浣嶇殑涓綋錛?/p>
S1 1000 1111 S2 1110 1100
|
浜х敓涓涓湪1鍒?涔嬮棿鐨勯殢鏈烘暟c錛屽亣濡傜幇鍦ㄤ駭鐢熺殑鏄?錛屽皢S1鍜孲2鐨勪綆浜屼綅浜ゆ崲錛歋1鐨勯珮鍏綅涓嶴2鐨勪綆鍏綅緇勬垚鏁頒覆10001100錛岃繖灝辨槸S1鍜孲2 鐨勪竴涓悗浠1涓綋錛汼2鐨勯珮鍏綅涓嶴1鐨勪綆浜屼綅緇勬垚鏁頒覆11101111錛岃繖灝辨槸S1鍜孲2鐨勪竴涓悗浠2涓綋銆傚叾浜ゆ崲榪囩▼濡備笅鍥炬墍紺猴細
Crossover |
11110000 |
Crossover |
11110000 |
S1 |
1000 1111 |
S2 |
1110 1100 |
P1 |
1000 1100 |
P2 |
1110 1111 |
3錛庡彉寮?Mutation)
榪欐槸鍦ㄩ変腑鐨勪釜浣撲腑錛屽皢鏂頒釜浣撶殑鍩哄洜閾劇殑鍚勪綅鎸夋鐜噋m榪涜寮傚悜杞寲錛屾渶綆鍗曟柟寮忔槸鏀瑰彉涓蹭笂鏌愪釜浣嶇疆鏁板箋傚浜岃繘鍒剁紪鐮佹潵璇村皢0涓?浜掓崲錛?鍙樺紓涓?錛?鍙樺紓涓?銆?/p>
濡備笅8浣嶄簩榪涘埗緙栫爜錛?/p>
闅忔満浜х敓涓涓?鑷?涔嬮棿鐨勬暟i錛屽亣濡傜幇鍦╧=6錛屽浠庡彸寰宸︾殑絎?浣嶈繘琛屽彉寮傛搷浣滐紝灝嗗師鏉ョ殑1鍙樹負0錛屽緱鍒板涓嬩覆錛?/p>
鏁翠釜浜ゅ弶鍙樺紓榪囩▼濡備笅鍥撅細
鍥?. 浜ゅ弶鍙樺紓榪囩▼

4錛庣簿鑻變富涔?錛圗litism錛?/strong>
浠呬粎浠庝駭鐢熺殑瀛愪唬涓夋嫨鍩哄洜鍘繪瀯閫犳柊鐨勭緹ゅ彲鑳戒細涓㈠け鎺変笂涓浠g緹や腑鐨勫緢澶氫俊鎭備篃灝辨槸璇村綋鍒╃敤浜ゅ弶鍜屽彉寮備駭鐢熸柊鐨勪竴浠f椂錛屾垜浠湁寰堝ぇ鐨勫彲鑳芥妸鍦ㄦ煇涓腑闂存楠や腑寰楀埌鐨勬渶浼樿В涓㈠け銆傚湪姝ゆ垜浠嬌鐢ㄧ簿鑻變富涔夛紙Elitism錛夋柟娉曪紝鍦ㄦ瘡涓嬈′駭鐢熸柊鐨勪竴浠f椂錛屾垜浠鍏堟妸褰撳墠鏈浼樿В鍘熷皝涓嶅姩鐨勫鍒跺埌鏂扮殑涓浠d腑錛屽叾浠栨楠や笉鍙樸傝繖鏍蜂換浣曟椂鍒諱駭鐢熺殑涓涓渶浼樿В閮藉彲浠ュ瓨媧誨埌閬椾紶綆楁硶緇撴潫銆?/p>
涓婅堪鍚勭綆楀瓙鐨勫疄鐜版槸澶氱澶氭牱鐨勶紝鑰屼笖璁稿鏂扮殑綆楀瓙姝e湪涓嶆柇鍦版彁鍑猴紝浠ユ敼榪汫A鏌愪簺鎬ц兘銆傛瘮濡傞夋嫨綆楁硶榪樻湁鍒嗙駭鍧囪 閫夋嫨絳夌瓑銆?/p>
閬椾紶綆楁硶鐨勬墍闇鍙傛暟
璇寸畝鍗曠偣閬椾紶綆楁硶灝辨槸閬嶅巻鎼滅儲絀洪棿鎴栬繛鎺ユ睜錛屼粠涓壘鍑烘渶浼樼殑瑙c傛悳绱㈢┖闂翠腑鍏ㄩ儴閮芥槸涓綋錛岃岀兢浣撲負鎼滅儲絀洪棿鐨勪竴涓瓙闆嗐傚茍涓嶆槸鎵鏈夎閫夋嫨浜嗙殑鏌撹壊浣撻兘瑕佽繘琛屼氦鍙夋搷浣滃拰鍙樺紓鎿嶄綔錛岃屾槸浠ヤ竴瀹氱殑姒傜巼榪涜錛屼竴鑸湪紼嬪簭璁捐涓氦鍙夊彂鐢熺殑姒傜巼瑕佹瘮鍙樺紓鍙戠敓鐨勬鐜囬夊彇寰楀ぇ鑻ュ共涓暟閲忕駭銆傚ぇ閮ㄥ垎閬椾紶綆楁硶鐨勬楠ら兘寰堢被浼鹼紝甯鎬嬌鐢ㄥ涓嬪弬鏁幫細
Fitness鍑芥暟錛氳涓婃枃浠嬬粛銆?/p>
Fitnessthreshold錛堥傚簲搴﹂榾鍊鹼級錛氶傚悎搴︿腑鐨勮瀹氱殑闃鍊鹼紝褰撴渶浼樹釜浣撶殑閫傚簲搴﹁揪鍒扮粰瀹氱殑闃鍊鹼紝鎴栬呮渶浼樹釜浣撶殑閫傚簲搴﹀拰緹や綋閫傚簲搴︿笉鍐嶄笂鍗囨椂(鍙樺寲鐜囦負闆?錛屽垯綆楁硶鐨勮凱浠h繃紼嬫敹鏁涖佺畻娉曠粨鏉熴傚惁鍒欙紝鐢ㄧ粡榪囬夋嫨銆佷氦鍙夈佸彉寮傛墍寰楀埌鐨勬柊涓浠g兢浣撳彇浠d笂涓浠g兢浣擄紝騫惰繑鍥炲埌閫夋嫨鎿嶄綔澶勭戶緇驚鐜墽琛屻?/p>
P錛氱緹ょ殑鏌撹壊浣撴繪暟鍙緹よ妯★紝瀹冨綆楁硶鐨勬晥鐜囨湁鏄庢樉鐨勫獎鍝嶏紝鍏墮暱搴︾瓑浜庡畠鍖呭惈鐨勪釜浣撴暟閲忋傚お灝忔椂闅句互姹傚嚭鏈浼樿В錛屽お澶у垯澧為暱鏀舵暃鏃墮棿瀵艱嚧紼嬪簭榪愯鏃墮棿闀褲傚涓嶅悓鐨勯棶棰樺彲鑳芥湁鍚勮嚜閫傚悎鐨勭緹よ妯★紝閫氬父縐嶇兢瑙勬ā涓?30 鑷?160銆?/p>
pc錛氬湪寰幆涓繘琛屼氦鍙夋搷浣滄墍鐢ㄥ埌鐨勬鐜囥備氦鍙夋鐜囷紙Pc錛変竴鑸彇0.6鑷?.95涔嬮棿鐨勫鹼紝Pc澶皬鏃墮毦浠ュ悜鍓嶆悳绱紝澶ぇ鍒欏鏄撶牬鍧忛珮閫傚簲鍊肩殑緇撴瀯銆?/p>
Pm錛氬彉寮傛鐜囷紝浠庝釜浣撶兢涓駭鐢熷彉寮傜殑姒傜巼錛屽彉寮傛鐜囦竴鑸彇0.01鑷?.03涔嬮棿鐨勫煎彉寮傛鐜嘝m澶皬鏃墮毦浠ヤ駭鐢熸柊鐨勫熀鍥犵粨鏋勶紝澶ぇ浣塊仐浼犵畻娉曟垚浜嗗崟綰殑闅忔満鎼滅儲銆?/p>
鍙︿竴涓郴緇熷弬鏁版槸涓綋鐨勯暱搴︼紝鏈夊畾闀垮拰鍙橀暱涓ょ銆傚畠瀵圭畻娉曠殑鎬ц兘涔熸湁褰卞搷銆傜敱浜嶨A鏄竴涓鐜囪繃紼嬶紝鎵浠ユ瘡嬈¤凱浠g殑鎯呭喌鏄笉涓鏍風殑,緋葷粺鍙傛暟涓嶅悓錛岃凱浠f儏鍐典篃涓嶅悓銆?/p>
閬椾紶姝ラ
浜嗚В浜嗕笂闈㈢殑鍩烘湰鍙傛暟錛屼笅闈㈡垜浠潵鐪嬬湅閬椾紶綆楁硶鐨勫熀鏈楠ゃ?/p>
鍩烘湰榪囩▼涓猴細
- 瀵瑰緟瑙e喅闂榪涜緙栫爜,鎴戜滑灝嗛棶棰樼粨鏋勫彉鎹負浣嶄覆褰㈠紡緙栫爜琛ㄧず鐨勮繃紼嬪彨緙栫爜錛涜岀浉鍙嶅皢浣嶄覆褰㈠紡緙栫爜琛ㄧず鍙樻崲涓哄師闂緇撴瀯鐨勮繃紼嬪彨璇戠爜銆?
- 闅忔満鍒濆鍖栫兢浣揚(0)錛?(p1, p2, … pn)錛?
- 璁$畻緹や綋涓婃瘡涓釜浣撶殑閫傚簲搴﹀?Fitness)
- 璇勪及閫傚簲搴?瀵瑰綋鍓嶇兢浣揚(t)涓瘡涓釜浣揚i璁$畻鍏墮傚簲搴(Pi)錛岄傚簲搴﹁〃紺轟簡璇ヤ釜浣撶殑鎬ц兘濂藉潖
- 鎸夌敱涓綋閫傚簲搴﹀兼墍鍐沖畾鐨勬煇涓鍒欏簲鐢ㄩ夋嫨綆楀瓙浜х敓涓棿浠r(t)
- 渚濈収Pc閫夋嫨涓綋榪涜浜ゅ弶鎿嶄綔
- 浠跨収Pm瀵圭箒孌栦釜浣撹繘琛屽彉寮傛搷浣?
- 娌℃湁婊¤凍鏌愮鍋滄鏉′歡錛屽垯杞3姝ワ紝鍚﹀垯榪涘叆9
- 杈撳嚭縐嶇兢涓傚簲搴﹀兼渶浼樼殑涓綋
紼嬪簭鐨勫仠姝㈡潯浠舵渶綆鍗曠殑鏈夊涓嬩簩縐嶏細瀹屾垚浜嗛鍏堢粰瀹氱殑榪涘寲浠f暟鍒欏仠姝紱縐嶇兢涓殑鏈浼樹釜浣撳湪榪炵畫鑻ュ共浠f病鏈夋敼榪涙垨騫沖潎閫傚簲搴﹀湪榪炵畫鑻ュ共浠e熀鏈病鏈夋敼榪涙椂鍋滄銆?/p>
鏍規嵁閬椾紶綆楁硶鎬濇兂鍙互鐢誨嚭濡傚彸鍥炬墍紺虹殑綆鍗曢仐浼犵畻娉曟鍥撅細
鍥?. 綆鍗曢仐浼犵畻娉曟鍥?/font>

涓嬮潰浼唬鐮佺畝鍗曡鏄庝簡閬椾紶綆楁硶鎿嶄綔榪囩▼錛?/p>
choose an intial population For each h in population,compute Fitness(h) While(max Fitness(h) < Fitnessthreshold) do selection do crossover do mutation update population For each h in population,compute Fitness(h) Return best Fitness
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Robocode 璇存槑
鑳芥湁鏁堝疄鐜伴仐浼犵畻娉曠殑搴旂敤渚嬪瓙鏈夊緢澶氾紝鍍忚タ媧嬪弻闄嗘銆佸浗闄呭悕妯$瓑絳夐兘鏄仐浼犵▼搴忚璁″涔犵殑宸ュ叿錛屼絾鏄?Robocode 鏈夌潃鍏朵粬鍑犱釜鏃犲彲姣旀嫙鐨勪紭鍔匡細
- 瀹冩槸鍩轟簬闈㈠悜瀵硅薄璇█ Java 寮鍙戯紝鑰岄仐浼犵畻娉曟湰韜殑鎬濇兂涔熸槸瀛樺湪緇ф壙絳夐潰鍚戝璞℃蹇碉紱
- Robocode 鏄竴縐嶅熀浜庢父鎴忎笌緙栫▼璇█涔嬮棿鐨勫鉤鍙幫紝鏈変竴涓厖婊$珵鎶涓庝箰瓚g殑鍧﹀厠鎴樻枟騫沖彴錛屼綘鑳藉緢蹇殑閫氳繃涓庡叾浠栧潶鍏嬫満鍣ㄦ瘮璧涜屾祴璇曡嚜宸辯殑閬椾紶綆楁硶錛?
- Robocode 紺劇兢鏈?4000 涓乏鍙沖悇縐嶇瓥鐣ョ殑渚嬪瓙鏈哄櫒浜哄彲渚涗綘閫夋嫨錛岃繖浜涙満鍣ㄤ漢瓚充互璁╂垜浠ā鎷熺湡瀹炵殑閬椾紶鐜銆傝屼笖寰堝浠g爜鍙洿鎺ュ紑鏀炬簮浠g爜渚涙垜浠熼壌 錛?
- Robocode 鏄竴涓紑婧愯蔣浠訛紝浣犲彲鐩存帴涓奟obocode鎺у埗鍣ㄤ笂鍔犲叆鑷繁鐨勯仐浼犵壒鐐癸紝鑰屽姞蹇仐浼犺繃紼嬬殑鏀舵暃鏃墮棿錛?
- Robocoe 鏄竴涓緢瀹規槗浣跨敤鐨勬満鍣ㄤ漢鎴樻枟浠跨湡鍣紝鎮ㄥ湪姝ゅ鉤鍙頒笂鍒涘緩鑷繁鐨勫潶鍏嬫満鍣ㄤ漢錛屽茍涓庡叾瀹冨紑鍙戣呭紑鍙戠殑鏈哄櫒浜虹珵鎶銆備互寰楀垎鎺掑悕鐨勬柟寮忓垽瀹氫紭鑳滆呫傛瘡涓?Robocode 鍙傚姞鑰呴兘瑕佸埄鐢?Java 璇█鍏冪礌鍒涘緩浠栨垨濂圭殑鏈哄櫒浜猴紝榪欐牱灝變嬌浠庡垵瀛﹁呭埌楂樼駭榛戝鐨勫箍澶у紑鍙戣呴兘鍙互鍙備笌榪欎竴濞變箰媧誨姩銆傚鏋滄偍瀵筊obocode涓嶆槸寰堜簡瑙o紝璇峰弬鑰?developerWorks 緗戠珯 Java 鎶鏈笓鍖烘枃绔狅細“閲嶉敜鐥涘嚮 Robocode”錛?
鍦?Robocode 涓叾瀹炴湁寰堝縐嶉仐浼犵畻娉曟柟娉曟潵瀹炵幇榪涘寲鏈哄櫒浜猴紝浠庡叏涓栫晫鐨?Robocode 嫻佹淳涓篃鍙戝睍鍑犵姣旇緝鎴愮啛鐨勬柟娉曪紝姣斿棰勮絳栫暐閬椾紶銆佽嚜寮鍙戣В閲婅璦閬椾紶銆侀仐浼犵Щ鍔ㄦ垜浠氨榪欏嚑縐嶆柟娉曞垎鍒姞浠ヤ粙緇嶃傜敱浜庨仐浼犵畻娉曟搷浣滆繃紼嬮兘綾諱技錛屾墍浠ュ墠闈簩閮ㄥ垎閮芥槸涓浜涙柟娉曠殑浠嬬粛鍜岄儴鍒嗕緥瀛愯瑙o紝鍚庨潰閮ㄥ垎浼氱粰鍑轟嬌鐢ㄤ簡閬椾紶綆楁硶鐨勭Щ鍔ㄦ満鍣ㄤ漢浜轟緥瀛愩傚湪闄勫綍涓紝涔熸彁渚涗簡鏈哄櫒浜轟粨搴撲腑鏈夊叧閬椾紶綆楁硶鏈哄櫒浜虹殑涓嬭澆錛屽ぇ瀹跺彲鍙傝冦?/p>
棰勮絳栫暐榪涘寲鏈哄櫒浜?/font>
Robocode 鍧﹀厠鏈哄櫒浜烘墍鏈夎涓洪兘紱諱笉寮濡傜Щ鍔ㄣ佸皠鍑匯佹壂鎻忕瓑鍩烘湰鎿嶄綔銆傛墍浠ュ湪姝ゆ妸榪欎簺鍩烘湰鎿嶄綔鎵鐢ㄥ埌鐨勭瓥鐣ュ垎鍒繘鍖栧涓嬬紪鐮侊細縐誨姩絳栫暐move-strategy (MS), 瀛愬脊鑳介噺bullet-power-strategy (BPS), 闆瘋揪鎵弿radar-strategy (RS), 鍜岀瀯鍑嗛夋嫨絳栫暐target- strategy (TS)銆傜敱浜嶳obocode鐖卞ソ鑰呯ぞ緹ょ殑鍙戝睍錛屾瘡涓縐嶅熀鏈搷浣滈兘鍙戝睍浜嗗緢澶氭瘮杈冩垚鐔熺殑絳栫暐錛屾墍鏈夊湪姝ゆ垜浠洿鎺ュ湪涓嬮潰棰勫厛瀹氫箟鐨勮繖浜涚瓥鐣ュ涓嬭〃錛?/p>
MS |
BPS |
RS |
TS |
random |
distance-based |
always-turn |
HeadOn |
Linear |
light-fast |
target-focus |
Linear |
circular |
Powerful-slow |
target-scope-focus |
Circular |
Perpendicular |
Medium |
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nearest robot |
arbitary |
hit-rate based |
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Log |
anti gravity |
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Statistic |
Stop |
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Angular |
Bullet avoid |
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wave |
wall avoid |
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track |
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Oscillators |
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涓嬮潰鏄熀鏈Щ鍔ㄧ瓥鐣ョ殑璇存槑錛?/p>
- Random錛氶殢鏈虹Щ鍔ㄤ富瑕佺敤鏉ユ販涔辨晫浜虹殑棰勬祴錛屽叾鏈澶х殑涓涓己鐐規槸鏈夊彲鑳芥挒鍑誨埌鍏朵粬鏈哄櫒浜?
- Linear錛氱洿綰跨Щ鍔?鏈哄櫒浜哄仛鍗曚竴鐨勭洿綰胯璧?
- circular錛氬渾鍛ㄧЩ鍔紝榪欑縐誨姩鏄互鏌愪竴鐐逛負鍦嗗績錛屼笉鍋滅殑緇曞湀
- Perpendicular錛氭瀵規晫浜虹Щ鍔紝榪欐槸寰堝浜洪噰鐢ㄧ殑涓縐嶇Щ鍔ㄦ柟寮忥紝榪欏湪鏁屼漢鍙寵竟錛?浠ラ殢鏃惰皟鏁翠笌鏁屼漢鐨勭浉瀵硅
- Arbitrary錛氫換鎰忕Щ鍔?
- AntiGravity錛氬亣璁懼満鍦版湁寰堝鍔涚偣鐨勫弽閲嶅姏縐誨姩錛屾湰鏂規硶鏄ā鎷熷湪閲嶅姏鍦轟綔鐢ㄤ笅錛岀墿浣撴繪槸榪滅閲嶅姏鍔塊珮鐨勭偣錛屾粦鍚戦噸鍔涘娍浣庣殑鐐癸紝寮濮嬫垬鍦烘槸涓涓鉤闈㈢劧鍚庣敓鎴愪竴浜涘娍鐐歸噸鍔涘娍澶х殑鍔跨偣鐨勪綔鐢ㄥ氨鍍忔槸涓涓北(璧鋒帓鏂ヤ綔鐢級錛屽叾琛板噺緋繪暟涓庡北鐨勫潯搴﹀搴斻傞噸鍔涘娍灝忕殑鍔跨偣鐨勪綔鐢ㄥ氨鍍忔槸涓涓綆璋鳳紙璧峰惛寮曚綔鐢級錛屽叾琛板噺緋繪暟涓庤胺鐨勫潯搴﹀搴斻傝繖鏍蜂嬌鏈潵鐨勫鉤闈㈠彉寰椾笉騫充簡錛屼粠鏉ョ墿浣撴部鐫鏈闄$殑鏂瑰悜鍚戜笅婊戝姩
- Track錛氳窡韙晫浜猴紝鏁屼漢縐誨姩鍒板摢錛屾満鍣ㄤ漢涔熺Щ鍔ㄥ埌鍝紝浣嗘槸鎬諱笌鏁屼漢淇濇寔涓瀹氭渶浣寵翰閬垮瓙寮硅窛紱誨拰瑙掑害
- Oscillators錛氶噸澶嶅仛涓鎸崱縐誨姩
- Bullet avoid錛氭瘡褰撻浄杈捐瀵熷埌鏁屼漢鏃舵湁鎵鍔ㄤ綔銆傛満鍣ㄤ漢淇濇寔涓庢晫浜烘垚30搴﹀懼悜瑙掋傝嚜韜垚 90 搴﹁闈欐騫墮愭笎鎺ヨ繎鐩爣銆傚鏋滄満鍣ㄤ漢瑙夊療鍒拌兘閲忎笅闄嶄粙浜?0.1 鍜?3.0 涔嬮棿錛堢伀鍔涜寖鍥達級錛岄偅涔堟満鍣ㄤ漢灝辯珛鍗沖垏鎹㈡柟鍚戯紝鍚戝乏鎴栧悜鍙崇Щ鍔ㄣ?
- wall avoid錛氳繖鏄竴縐嶄嬌鑷繁鐨勬満鍣ㄤ漢涓嶄細琚洶鍦ㄨ钀介噷鎴栬呬笉浼氭挒澧欑殑縐誨姩鏂瑰紡
鐬勫噯絳栫暐璇存槑濡備笅錛?/p>
- Headon錛氭瀵圭瀯鍑?
- Linear錛氱洿綰跨瀯鍑?
- circular錛氬渾鍛ㄧ瀯鍑?
- nearest robot錛氭帴榪戞満鍣ㄤ漢鐬勫噯
- Log錛氫繚瀛樻瘡嬈″紑鐏褰?
- Statistic錛氱粺璁″鐬勫噯錛屽垎鏋愭墍鏈夋墦涓強鏈墦涓殑嬈℃暟錛屼互鍏朵腑鎵懼嚭鏈楂樻墦涓晫浜虹殑姒傜巼涓哄噯鍒?
- Angular錛氭壘鍒版渶浣寵搴︾瀯鍑?
- Wave錛氭嘗褰㈢瀯鍑嗭紝瀛愬脊浠ユ嘗鐨勬柟寮忚繘琛屾帰嫻?
Robocode 琛屼負浜嬩歡
鍧﹀厠鐨勪富瑕侀兘瀹氫箟鍦ㄤ竴涓富寰幆涓紝鎴戜滑鍦ㄧ▼搴忎腑瀹氫箟涓轟笂闈㈠洓涓瓥鐣ュ畾涔夊洓縐嶆垬鐣ュMove,Radar,Power,Target錛屽綋鏌愪竴浜嬩歡鍙戠敓錛屽熀浜庤繖涓簨浠惰屽畾鐨勮涓哄氨浼氳Е鍙戙傝屾瘡涓垬鐣ヤ腑閮芥湁涓嶅悓鐨勮涓哄鐞嗘柟寮忋傝繖浜涜涓洪氳繃閬椾紶綆楁硶瑙﹀彂錛岄仐浼犵畻娉曞皢璋冪敤榪欎簺鍩烘湰鍔ㄤ綔騫舵悳绱㈣繖浜涚瓥鐣ョ殑鏈浣崇粍鍚堛傚熀浜庤繖浜涘熀鏈姩浣滃皢鏈?224 (=4*11*4*3*8)縐嶅彲鑳藉彂鐢熴傚湪Robocode AdvancedRobot 綾諱笅鏈夊涓嬬殑縐誨姩鍑芥暟錛?/p>
- setAhead鍜宎head錛氳鏈哄櫒浜哄悜鍓嶇Щ鍔ㄤ竴瀹氳窛紱?
- setBack鍜宐ack錛氳鏈哄櫒浜哄悜鍚庣Щ鍔ㄤ竴瀹氳窛紱?
- setMaxTurnRate錛氳緗満鍣ㄤ漢鏈澶х殑鏃嬭漿閫熷害
- setMaxVelocity錛氳緗満鍣ㄤ漢鏈澶х殑榪愬姩閫熷害
- setStop鍜宻top錛氬仠姝㈢Щ鍔ㄦ垨鏆傚仠鏈哄櫒浜猴紝騫惰浣忓仠姝㈢殑浣嶇疆
- setResume鍜宺esume錛氶噸鏂板紑濮嬬Щ鍔ㄥ仠姝㈢殑鏈哄櫒浜?
- setTurnLeft鍜宼urnLeft錛氬悜宸︽棆杞満鍣ㄤ漢
- setTurnRight鍜宼urnRight錛氬悜鍙蟲棆杞満鍣ㄤ漢
涓嬮潰鏄?doMove 縐誨姩鏂規硶涓嬌鐢ㄩ儴鍒嗙▼搴忎唬鐮侊細
Random錛?/p>
switch(Math.random()*2) { case 0錛?setTurnRight(Math.random()*90); break; case 1錛?setTurnLeft(Math.random()*90); break; } execute();
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Linear錛?/p>
Circular錛?/p>
setTurnRight(1000); setMaxVelocity(4); ahead(1000);
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anti gravity錛?/p>
double forceX = 0; double forceY = 0; for (int i=0; i
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榪欓噷鎴戜滑鐢ㄩ仐浼犵畻娉曟潵鎺у埗鏈哄櫒浜虹Щ鍔ㄤ綅緗傝繖浜涚瓥鐣ユ槸鍩轟簬涓嬮潰鍑犵偣錛氭満鍣ㄤ漢浜鴻嚜宸辯殑浣嶇疆銆侀熷害鍜屾柟浣?瀵規墜鐨勪綅緗紙x,y鍧愭爣錛夈侀熷害銆佹柟浣嶄互鍙婄浉瀵硅;鎵鏈夋満鍣ㄤ漢鍜屽瓙寮逛綅緗紝鏂逛綅鍙婇熷害;鍦哄湴澶у皬絳夊弬鏁般?/p>
褰撲笂闈㈢殑淇℃伅鍦ㄤ笅涓鍥炵Щ鍔ㄤ腑浣跨敤鏃訛紝鍑鴻緭鍑轟竴瀵瑰潗鏍囧鹼紝鏍規嵁榪欏鍧愭爣鍦≧obocode灝辮兘寰楀埌璺濈鍜岃搴︺傝鎯寵縐誨姩瀹炵幇閬椾紶蹇呴』瑕佽瀹冨疄鐜板湪綰垮涔狅細鎵浠ユ垜浠殑浠g爜蹇呴』鍋氫笅闈㈠嚑浠朵簨錛氳鏈変竴涓嚱鏁版敹闆嗛傚簲搴﹀鹼紝鍦≧obocode榪愯榪囩▼涓榪愮敤鍒伴仐浼犳搷浣滐紝閬椾紶鍚庝唬瑕佸湪Robocode榪愯涓駭鐢燂紝鑰屼笉鏄簨鍚庣敱鎵嬪啓鍏ヤ唬鐮併?/p>
閬椾紶鎿嶄綔
鏈緥涓仐浼犵畻娉曚負瀹炵幇縐誨姩鐢ㄥ埌涓や釜綾籊A鍜孧ovePattern銆傛澶勭殑GA姣旇緝綆鍗曚富瑕佸畬鎴愭暟鎹拰緹や綋鐨勫畾涔夛紝浠ュ強榪欎簺瀹氫箟鐨勮鍐欐枃浠舵搷浣溿傚熀涓寘鎷涓嬪弬鏁幫細緹や綋澶у皬銆佷氦鍙夋鐜囥佸彉寮傛鐜囥佺簿鑻辨鐜囷紙鏃㈠憡璇変粠褰撳墠緹や綋鍒頒笅涓浠d腑鏈夊灝戠Щ鍔ㄤ笉闇瑕佹敼鍙橈級銆佹柟紼嬪紡涓嬌鐢ㄧ殑鍔犳潈緋繪暟澶у皬錛屽畠閫氳繃涓涓富寰幆瀹屾垚MovePattern鐨勫皝瑁呫侻ovePattern綾諱腑瀹炵幇浜ゅ弶銆佸彉寮傛柟娉曠瓑鏂規硶錛屽畬鎴愮Щ鍔ㄦā寮忔搷浣溿傝屾墍鏈夌殑杈撳嚭淇濆瓨鍦ㄤ竴涓獀ector鍑芥暟褰撲腑銆俈ector鍑芥暟鎷ユ湁涓瀵瑰疄鏁版暟緇勶紝涓涓敤浜庤綆梮鍧愭爣錛屽彟涓涓敤浜庤綆梱鍧愭爣銆傞氳繃瀵箈,y鍧愭爣鐨勮綆楋紝浠庤屽緱鍒拌窛紱匯佽搴︾瓑鍊鹼紝騫朵駭鐢熺浉灝卞湪縐誨姩絳栫暐銆傚涓嬶紝MovePattern鍖呭惈涓変釜鍙傛暟錛実rad琛ㄧずvector鍑芥暟鎺掑垪欏哄簭錛宨nput鍗寵〃紺虹畻娉曠粰鍑虹殑杈撳叆緙栧彿錛宺ang鏄姞鏉冪殑鑼冨洿銆?/p>
public class MovePatteren implements Comparable { private int grad, input; private double range; protected double fitness=0; protected double[] weightsX, weightsY; … }
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浜ゅ弶鎿嶄綔錛氭瘡涓涓氦鍙夋搷浣滄墽琛屽涓嬫楠わ紝鍏堝湪浜ゅ弶鎿嶄綔涓駭鐢熶竴涓壒寰佺爜銆傝繖涓壒寰佺爜鏄釜0鍒?涔嬮棿鐨勫彉閲忔暟緇勩傛湁鍏充氦鍙夌殑鍩烘湰鍘熺悊鍙弬鑰冧笂闈㈤儴鍒嗐傛渶鍚庨氳繃閬嶅巻vector鍑芥暟錛屾妸鐩稿簲鐨勫姞鏉冨艱繘琛屼氦鍙夋搷浣溿?/p>
protected MovePatteren crossOver(MovePatteren mate, boolean[] maskx, boolean[] masky) { double[] wx= new double[weightsX.length]; double[] wy= new double[weightsX.length]; for(int mask=0; mask <="" pre="" mask++)="" for(int="" g="0;" g
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榪欓噷鐨勫彉寮傛搷浣滄瘮杈冪畝鍗曘傛妸鍔犳潈鑼冨洿鍐呯殑闅忔満鏁板煎幓浠f浛0鍒版暟緇勯暱涔嬮棿鐨勯殢鏈烘暟騫朵繚瀛樺埌縐誨姩妯″紡涓傚垯瀹屾垚鏁翠釜鏁扮粍鐨勫彉寮傝繃紼嬶細
protected void mutate() { weightsX[(int)(Math.random()*weightsX.length)]=Math.random()*range*2-range; weightsY[(int)(Math.random()*weightsX.length)]=Math.random()*range*2-range; }
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浠庝笂闈㈢殑渚嬪瓙鎴戜滑鐭ラ亾浜嗛仐浼犵畻娉曠殑澶ф瀹炵幇錛屼絾騫舵病鏈夊憡璇夋垜浠繖浜涚粍浠舵槸濡備綍涓璧峰伐浣滅殑銆傚綋Robocode寮濮嬫椂錛屽鏋滄枃浠朵腑娌℃湁鏁版嵁錛屾墍浠ョ郴緇熶細渚濈収杈撳叆鐨勭瓥鐣ラ殢鏈虹敓鎴愪竴涓Щ鍔ㄦā寮忥紝濡傛灉鏂囦歡涓湁鏁版嵁錛屽垯鍔犺澆榪欎簺鏁版嵁銆傛瘡涓涓Щ鍔ㄦā寮忓湪寮濮嬮兘浼氱粰鍑轟簡涓涓傚簲搴﹀箋傚綋鎵鏈夌殑縐誨姩妯″紡閮芥帴鏀跺埌閫傚簲搴﹀鹼紝騫跺畬鎴愬悇鑷殑緙栧彿鍚庯紝涓嬮潰鐨勬搷浣滃皢寮濮嬫墽琛岋細
- 瀵規墍鏈夌殑縐誨姩妯″紡渚濇嵁瀹冧滑鐨勯傚簲搴﹀艱繘琛屽垎綰у鐞?
- 鎵ц綺捐嫳鎿嶄綔
- 鎵ц浜ゅ弶鎿嶄綔
- 搴旂敤鍙樺紓鎿嶄綔
- 淇濆瓨鍔犳潈
- 綆楁硶閲嶆柊寮濮?
閫傚簲搴﹀煎湪榪涜榪愮畻榪囩▼涓敱鏈哄櫒浜虹▼搴忎笉鏂皟鏁達紝浠ユ壘鍒版渶浼橀傚簲搴︺?/p>
闄愪簬綃囧壇鍏朵粬鐨勪竴浜涚瓥鐣ユ湰鏂囦笉涓庤緇嗚鏄庯紝涓婇潰鎵鏈夋彁鍒扮殑絳栫暐鍜岃涓虹▼搴忛兘鍙湪緗戜笂鎴朓BM鐨勫紑鍙戞潅蹇椾笂鎵懼埌鎴愮啛鐨勮瑙e拰渚嬪瓙鏈哄櫒浜恒傛湁鍏磋叮鐨勬湅鍙嬪彲浠ユ妸榪欎簺絳栫暐閮藉姞鍏ュ埌鑷繁鐨勯仐浼犵畻娉曚腑鏉ャ傛垜浠彇緹や綋澶у皬涓?0錛岄夋嫨姒傜巼涓?.7錛屼氦鍙夋鐜囦負0.6錛屽彉寮傛鐜囦負0.3錛屼笌Robocode閮ㄥ垎渚嬪瓙鏈哄櫒浜烘祴璇曪紝緇忚繃150浠e悗浣犱細鍙戠幇緋葷粺浜х敓浜嗗緢澶氭湁瓚g殑絳栫暐銆傛瘮濡傛挒鍑葷瓥鐣ワ紝榪欎簺絳栫暐閮戒笉鍦ㄦ垜浠畾涔夌殑絳栫暐涔嬩腑銆?/p>
涓棿瑙i噴紼嬪簭榪涘寲鏈哄櫒浜?/font>
閬椾紶綆楁硶鍙鐪嬪仛浠繪剰鍩哄洜緇勫瓧絎︿覆銆備絾鏄綘蹇呴』鍐沖畾榪欎簺瀛楃鎵浠h〃鐨勬剰涔夛紝涔熷氨鏄濡備綍瑙i噴姣忎竴涓熀鍥犵粍銆傛渶綆鍗曠殑鏂規硶鏄妸姣忎竴涓熀鍥犵粍瑙嗕負java浠g爜錛岀紪璇戝茍榪愯瀹冧滑銆備絾鏄繖浜涚▼搴忕紪璇戦兘寰堝洶闅撅紝鎵浠ヤ篃灝辨湁鍙兘涓嶈兘宸ヤ綔銆侸acob Eisenstein璁捐浜嗕竴縐嶆満鍣ㄧ炕璇戣璦TableRex鏉ヨВ鍐寵繖涓棶棰樸傚湪java涓紝TableRex琚敤浜庤繘鍖栧拰瑙i噴鍔ㄨ鏃剁殑Robocode 鏈哄櫒浜恒傞氳繃嫻嬭瘯錛屽彧瑕佹垜鎶奣ableRex瑙i噴紼嬪簭浣滀負鏂囦歡鏀懼叆Robocode鎺у埗鍣ㄧ洰褰曚腑錛岃繖浜涙帶鍒跺櫒灝變細璇誨彇鏂囦歡騫跺紑濮嬫垬鏂椼俆ableRex鏄竴浜涙渶閫傚悎閬椾紶綆楁硶鐨勪簩榪涘埗緙栫▼銆傚彧瑕佺鍚圱ableRex紼嬪簭鏂囨硶錛屾瘡涓▼搴忛兘鑳借瑙i噴銆?/p>
緙栫爜
涓嬭〃涓樉紺轟簡TableRex緙栫爜緇撴瀯錛屽畠鐢變竴涓鍔ㄤ綔鍑芥暟錛屼簩涓緭鍏ュ拰涓涓緭鍑虹粍鎴愩傚琛?鐨勫?錛岃繖鏄釜甯冨皵鍨嬬殑琛ㄨ揪寮?#8220;鍊?line4 灝忎簬 90”錛岃繖涓粨鏋滀細鍦ㄦ渶鍚庝竴琛岃緭鍑哄竷灝斾負1鐨勫箋?/p>
Function |
Input 1 |
Input 2 |
Output |
1. Random |
ignore |
ignore |
0,87 |
2. Divide |
Const_1 |
Const_2 |
0,5 |
3. Greater Than |
Line 1 |
Line 2 |
1 |
4. Normalize Angle |
Enemy bearing |
ignore |
-50 |
5. Absolute Value |
Line 4 |
ignore |
50 |
6. Less Than |
Line 4 |
Const_90 |
1 |
7. And |
Line 6 |
Line 3 |
1 |
8. Multiply |
Const_10 |
Const_10 |
100 |
9. Less Than |
Enemy distance |
Line 8 |
0 |
10. And |
Line 9 |
Line 7 |
0 |
11. Multiply |
Line 10 |
Line 4 |
0 |
12 Output |
Turn gun left |
Line 11 |
0 |

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