I-Non-Computational Algorithms 12 Izibonelo

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Uyemukelwa emhlabeni othokozisayo wama-algorithms angewona wokubala! Kulesi sihloko, sizohlola izibonelo ezijabulisayo neziyinselele zama-algorithms acindezela imingcele yekhompuyutha evamile. Zitholele ukuthi lezi zibonelo ze-algorithm ezingezona zokubala ziguqula kanjani izindawo ezahlukahlukene, ukusuka ekubhalweni kwemfihlo kuye kobuhlakani bokwenziwa. Ingabe usukulungele ukungena kulo mkhakha ojabulisayo? Asambe!

Isingeniso

Ama-algorithms amasethi emiyalo yesinyathelo nesinyathelo yakhelwe ukuxazulula izinkinga ezithile. Sivame ukucabanga ngama-algorithms njengezinqubo ezenziwa amakhompyutha, kodwa kwenzekani lapho ama-algorithms edlula indawo yekhompuyutha evamile? Kulapho ama-algorithms angewona wokubala asebenza khona.

Ama-algorithms okungewona awekhompiyutha yilawo angasebenzi kukhompuyutha evamile. Kunalokho, bathembele ezimisweni nemiqondo engajwayelekile ukuze baxazulule izinkinga eziyinkimbinkimbi. Lawa ma-algorithms angasebenzisa izenzakalo zemvelo, ithiyori yegeyimu, amasu okuziphendukela kwemvelo, nezinye izindawo eziningi ezijabulisayo ukuze kuzuzwe izixazululo ezintsha. Ake sihlaziye izibonelo eziyi-12 zama-algorithms angewona wokubala!

Izibonelo zama-Non-Computational Algorithms: Imvelo Njengogqozi

1. Izintuthwane ezithola indlela emfushane kakhulu

Ukwenziwa kahle kwendlela emfushane kuyinkinga evamile kwisayensi yekhompyutha. Kodwa-ke, izintuthwane zibonise ukuthi zingochwepheshe ekutholeni indlela efanele yezinsiza zokudla. Bekhuthazwe yilokhu kuziphatha, abacwaningi bathuthukise i-algorithm ye-Ant Colony Optimization (ACO).

I-ACO ilingisa ukuziphatha kwezintuthwane, lapho intuthwane ngayinye ishiya ama-pheromones endleleni eya ekudleni. Lawa ma-pheromone aheha ezinye izintuthwane, futhi ngokuhamba kwesikhathi, kwakheka indlela efanelekile. Le algorithm isetshenziswe ngempumelelo ezinkingeni zomzila njengokuklanywa kwamanethiwekhi okuthutha asebenzayo.

2. I-algorithm ye-particle swarm

Wake wamangala yini ukusebenzelana okuhle kweqembu lezinyoni noma izinhlanzi ezihamba ngandlela-thile? Lesi sigameko saziwa ngokuthi i-swarming futhi sibe umthombo wogqozi ekuthuthukisweni kwama-algorithms angewona wokubala.

I-algorithm ye-Particle Swarm Optimization (PSO) ilingisa ukusebenzisana phakathi kwabantu ngabanye ukuze kuxazululwe izinkinga zokusebenzisa ngokugcwele. Izinhlayiya zihamba emkhathini zifuna isixazululo esingcono kakhulu, futhi njengoba zixhumana zodwa, ziyahlangana ziye esixazululweni esifanele. I-PSO ikhonjiswe ukuthi iyasebenza ezinkingeni zokuthuthukisa eziyinkimbinkimbi njengokuhlela umzila kanye nokwenza ngcono inqubo.

3. Ukuziphendukela kwekhompyutha

Ukuziphendukela kwemvelo kuye kwalolonga ukuphila eMhlabeni izigidi zeminyaka, futhi manje ososayensi basebenzisa izimiso zabo ukuze benze ama-algorithms angewona wokubala. I-Computational evolution yakhela phezu kwethiyori kaDarwin yokuziphendukela kwemvelo ukuze kutholakale izixazululo zezinkinga eziyinkimbinkimbi.

Kule ndlela, izixazululo zimelelwa njengabantu ngabanye emphakathini futhi zingena ezinqubweni zokukhetha, ukukhiqiza kabusha nokushintshashintsha. Ngokuhamba kwesikhathi, izixazululo ziyaguquguquka futhi zivumelane nendawo yazo ukuze zithole izixazululo ezifanele. Ukuvela kwekhompyutha kusetshenziswe emikhakheni efana nokwakhiwa kwesekethe, ukwenziwa ngcono kwenethiwekhi, nokufunda komshini.

Izibonelo zama-algorithms okungewona wokubala: I-Cryptography Emisha

4. I-cryptography esekwe kusiphithiphithi

La i-cryptography idlala indima ebalulekile ekuvikelekeni kolwazi. Enye yama-algorithms athakazelisa kakhulu angewona wokubala kulo mkhakha i-cryptography esekwe kusiphithiphithi. Ngokungafani ne-cryptographic algorithms evamile, esekelwe ekusebenzeni okuyinkimbinkimbi izibaloI-cryptography esekelwe kusiphithiphithi isebenzisa ukungaqageleki okukhona kumasistimu anesiphithiphithi.

Amasistimu wesiphithiphithi azwela kakhulu ezimeni zokuqala, okusho ukuthi ngisho nokuhlukahluka okuncane kungabangela imiphumela ehluke ngokuphelele. Lokhu kusetshenziselwa ukubethela kanye nokususa ukubethela ulwazi, okwenza kube nzima kakhulu kubahlaseli ukubuyisela umlayezo wangempela ngaphandle kokwazi izimo zokuqala ezinembile.

5. I-Quantum cryptography

I-Quantum cryptography isebenzisa izimiso ze ngomshini quantum ukuqinisekisa ukuthi ukuxhumana akungeneki. Ngokwenzeka kwe-quantum superposition kanye nokubambeka, ama-algorithms we-quantum cryptographic aqinisekisa ukugcinwa kuyimfihlo nobuqotho bemilayezo.

Esinye sezibonelo ezivelele kakhulu ze-quantum cryptography i-algorithm ye-BB84, eyahlongozwa u-Charles Bennett no-Gilles Brassard ngo-1984. Le nqubo yokulinganisa isebenzisa indawo ye-qubits ukuze ihlanganise ulwazi futhi ithole noma yimiphi imizamo yokuvimba. I-cryptography ye-Quantum ihlinzeka ngokuvikeleka okungakaze kubonwe ekuhlaselweni kwe-inthanethi okuthuthukile futhi ithathwa njengenye yezindlela ezivikeleke kakhulu zokubethela.

6. I-DNA-based cryptography

I-DNA-based cryptography iwumkhakha osafufusa osebenzisa ubunjalo obuyingqayizivele nobuguquguqukayo be-DNA ukuze kuqinisekiswe ukuphepha kolwazi. I-DNA-based cryptography algorithms isebenzisa ukusebenza kwamangqamuzana ukuze ibethelwe futhi isuse ukubethela idatha, ihlinzeka ngenye indlela ethembisayo ezindleleni ezivamile.

I-DNA ingagcina inqwaba yokwaziswa futhi ukwakheka kwayo okuyinkimbinkimbi kwenza kube nzima kakhulu ngabahlaseli ukuqonda imiyalezo ngaphandle kolwazi olufanele. Ngaphezu kwalokho, ukubhala ngekhodi okusekelwe ku-DNA kanye nokuqopha kungenziwa ezingeni lamangqamuzana, kunikeze ithuba lokuthuthukisa izinhlelo zokuphepha ezihlangene kakhulu nezisebenza kahle.

Izibonelo zama-algorithms angewona awekhompiyutha: Ukuqamba okusha ku-Artificial Intelligence

7. Ama-algorithms aphefumulelwe ubuchopho

Ubuhlakani bokwenziwa buye baholela entuthukweni ebalulekile ezindaweni ezifana nokucutshungulwa kolimi lwemvelo, ukuqashelwa kwesithombe nokwenza izinqumo. Enye yezindlela ezithakazelisa kakhulu kubuhlakani bokwenziwa ugqozi oluvela ebuchosheni bomuntu ukuze kuthuthukiswe ama-algorithms angewona wokubala.

Ama-algorithms asekelwe ebuchosheni, njenge amanethiwekhi we-neural wokufakelwa, balingise ukwakheka nokusebenza kobuchopho bomuntu ukuze benze imisebenzi yokucubungula ulwazi. Lawa ma-algorithms asebenzisa ama-node axhumene, abizwa ngokuthi ama-neurons okwenziwa, ukucubungula nokudlulisa amasignali.

Le ndlela iholele ekuthuthukisweni okuphawulekayo emkhakheni wokufunda komshini, okuvumela imishini ukuthi ifunde kudatha futhi yenze imisebenzi eyinkimbinkimbi efana nokuqaphela inkulumo nokubona ngekhompyutha. Ezinye izibonelo ezivelele ze ubuchule obuphezulu Asekelwe ebuchosheni amanethiwekhi e-convolutional neural network kanye namanethiwekhi we-neural aphindaphindiwe.

8. Ama-algorithms wofuzo ekusebenzeni kahle

I-Genetic algorithms iwuhlobo lokuthuthukisa olukhuthazwe yizimiso zokuziphendukela kwemvelo. Lawa ma-algorithms alingisa izinqubo zokukhethwa kwemvelo, ukukhiqiza kabusha kanye nokushintshashintsha ukuze kutholwe izixazululo ezilungile zezinkinga eziyinkimbinkimbi.

Ku-algorithm yofuzo, izixazululo zimelelwa njengama-chromosome futhi zenza izinqubo zokuzala kanye nokushintshashintsha ukuze zenze ezintsha. izizukulwane yezixazululo. Njengoba kusetshenziswa ukukhethwa kwemvelo, izixazululo ziguqukela ekubeni nesixazululo esifanele.

Ama-algorithms wezofuzo asetshenziswa ezinhlelweni eziningi ezahlukahlukene, njengokwenza umzila, ukuhlela, kanye nokwakheka kwezinhlelo eziyinkimbinkimbi. Ikhono labo lokuthola izixazululo ezisebenza kahle ezindaweni zokusesha ezinkulu neziyinkimbinkimbi libenza babe ithuluzi elinamandla emkhakheni wokwenza kahle.

9. Ama-algorithms we-swarm ku-intelligence ehlangene

I-Collective intelligence isho ikhono leqembu labantu ukuxazulula izinkinga ngokubambisana, ukunqoba imikhawulo yomuntu ngamunye eyedwa. Ama-algorithms e-swarm, agqugquzelwe ukuziphatha okuhlangene kwezilwane ezinjengezinyosi nezinyoni, alingisa lesi simo kumongo wobuhlakani bokwenziwa.

Lawa ma-algorithms asekelwe ekusebenzelaneni nasekuxhumaneni phakathi kwama-ejenti amaningi ukuze kutholwe izixazululo ezifanele. I-ejenti ngayinye equlwini yenza izenzo ezilula kodwa ezihlelekile, futhi njengoba zisebenzisana, kuvela izixazululo zomhlaba wonke.

Ama-algorithms e-swarm asetshenziswa ezinhlelweni ezifana nokwenza kahle komzila, isabelo somsebenzi, nokusesha ulwazi. Ikhono labo lokuzivumelanisa ngokushesha nezimo ezishintshayo futhi bathole izixazululo eziphumelelayo libenza babe ithuluzi elibalulekile ekuhlakanipheni kokwenziwa.

Izibonelo zama-algorithms angewona awekhompiyutha: Izinhlelo zokusebenza Kwezinye Izinkambu

10. Ubuciko bokukhiqiza

Ubuciko bokukhiqiza yinkambu ehehayo esebenzisa ama-algorithms angahlangani ukuze adale imisebenzi yobuciko eyingqayizivele nemangazayo. Lawa ma-algorithms ancike ezimisweni ezingajwayelekile, njengethiyori yesiphithiphithi kanye nezibalo ze-fractal, ukuze kukhiqizwe izithombe, umculo, nezinye izinhlobo zokuvezwa kobuciko.

Isibonelo esivelele sobuciko bokukhiqiza isethi ye-Mandelbrot, i-fractal ebonisa amaphethini ayinkimbinkimbi namahle njengoba ikhuliswa. Amaciko akhiqizayo asebenzisa ama-algorithms ukuze ahlole futhi abone ngeso lengqondo lawa ma-fractals, adala izithombe ezithwebula ubuhle bejometri yezibalo.

Ubuciko bokukhiqiza bubonisa ukuthi ama-algorithms angewona wokubala angaba amathuluzi anamandla emkhakheni wokudala, okuvumela ukuhlolwa kwezindlela ezintsha zokukhuluma nokudalwa kwemisebenzi ehlukile.

11. Ama-algorithms aphefumulelwe ngokwemvelo wokuthuthukisa izinsiza

Imvelo iwumthombo ongashi wogqozi lokuthuthukiswa kwama-algorithms angewona wokubala wokuthuthukisa izinsiza. Lawa ma-algorithms asekelwe ezimisweni ezibonwa endalweni, njengokuziphendukela kwemvelo, izintuthwane, kanye nokuphila kwabanamandla, ukuze kutholwe izixazululo ezisebenza kahle ekwabiweni nasekusetshenzisweni kwezisetshenziswa.

Isibonelo esivelele i-algorithm yokwenza kahle i-bee colony, elingisa ukuziphatha kwezinyosi zokufuna izinsiza. Inyosi ngayinye ihlola isixazululo esingaba khona futhi yabelane ngolwazi nezinye izinyosi ukuze iqondise ukusesha kuzixazululo ezifanele.

Lawa ma-algorithms asetshenziswa emikhakheni ehlukahlukene, njengokuphathwa kwe-supply chain, ukuhlela ukukhiqiza kanye nokwabiwa kwezinsiza kumagridi kagesi. Ikhono labo lokuthola izixazululo ezisebenza kahle nokuzivumelanisa nezimo eziguquguqukayo libenza babe amathuluzi abalulekile ekusebenziseni kahle izinsiza.

12. Ama-algorithms asekelwe ezimisweni zetiyori yomdlalo

Ithiyori yegeyimu iyinkambu ecwaninga ukwenza izinqumo zamasu ezimeni lapho imiphumela yesenzo incike ezenzweni zabanye. Ama-algorithms okungewona wokubala asuselwa kuthiyori yegeyimu abonakale esebenza ngempumelelo ekuxazululeni izinkinga eziyinkimbinkimbi emikhakheni eyahlukene.

Isibonelo esivelele i-algorithm yokufunda yokuqinisa, ethembele kuthiyori yegeyimu ukwenza izinqumo ezifanele ezindaweni eziguquguqukayo. Ngale ndlela, i-ejenti ifunda ngokusebenzisana nendawo yayo futhi iklonyeliswa noma ijeziswe ngokusekelwe ezenzweni ezithathiwe.

Ama-algorithms wokufunda okuqinisa asetshenziswa ezinhlelweni ezifana nalezi i-robotics, ukuphathwa kwempahla kanye nokwenza izinqumo ngesikhathi sangempela. Ikhono labo lokuzivumelanisa nezimo ezishintshayo nokufunda kokuhlangenwe nakho kubenza babe amathuluzi anamandla okwenza izinqumo zamasu zibe ngcono.

Izibonelo zama-algorithms angewona wokubala: Imibuzo evamise ukubuzwa

Uyini umehluko phakathi kwama-algorithms angewona wokubala kanye nama-algorithms endabuko?

Ama-algorithms okungewona wokubala ayahluka kuma-algorithms endabuko ngendlela axazulula ngayo izinkinga. Nakuba ama-algorithms endabuko ancike ekusebenzeni kwezibalo nokunengqondo okwenziwa kukhompuyutha, ama-algorithms angahlanganisi aphakamisa izimiso nemiqondo engajwayelekile, njengemvelo, ithiyori yegeyimu, nokuziphendukela kwemvelo, ukuze kutholwe izixazululo ezintsha.

Yini ukubaluleka kwama-algorithms angewona wokubala?

Ama-algorithms angewona wokubala inselele imikhawulo yekhompuyutha evamile ngokusebenzisa izimiso nemiqondo engajwayelekile. Lawa ma-algorithms anika amandla izixazululo ezintsha ezinkingeni eziyinkimbinkimbi emikhakheni eyahlukene, kusukela ekwenzeni kahle kanye ne-cryptography kuya kubuhlakani bokwenziwa kanye nobuciko bokukhiqiza. Ikhono labo lokuthola izixazululo eziphumelelayo, ukuzivumelanisa nezimo ezishintshayo futhi banqobe imingcele yekhompuyutha evamile kubenza babe amathuluzi anamandla ekuxazululeni izinkinga eziyinkimbinkimbi.

Liyini ikusasa lama-algorithms angewona wokubala?

El inkambu yama-algorithms ubuchwepheshe obungasebenzisi ikhompuyutha buyaqhubeka nokuvela futhi kulindeleke ukuthi bube nomthelela omkhulu ezindaweni ezahlukahlukene. Njengoba kutholwa futhi kuqondwe imigomo emisha nemibono engajwayelekile, amathuba amasha azovuleka okuthuthukisa ama-algorithms aqanjiwe.

Ngokuzayo, ama-algorithms angewona wokubala kungenzeka adlale indima ebalulekile ekuthuthukisweni kwensiza, ukuphepha kolwazi, ubuhlakani bokwenziwa, nezinye izindawo eziningi. Ngaphezu kwalokho, ukusebenzisana phakathi kwama-algorithms angewona wokubala nama-algorithms wendabuko kulindeleke ukuthi kuholele ezindleleni eziyingxube ezihlanganisa okuhle kakhulu kuyo yomibili imihlaba.

Isiphetho

Kulesi sihloko, sihlole izibonelo ezijabulisayo zama-algorithms angewona wokubala abekela inselele imikhawulo yekhompuyutha evamile. Kusukela kuma-algorithms aphefumulelwe imvelo kuya ekusungulweni kokubhaliwe kwemfihlo kanye nezinhlelo zokusebenza ngobuhlakani bokwenziwa, lawa ma-algorithms asikhombisa ukuthi ziningi izindlela zokuxazulula izinkinga eziyinkimbinkimbi.

Ama-algorithms okungewona wokubala anikeza izixazululo ezintsha, ezisebenza kahle nezivumelana nezimo emikhakheni eyahlukene. Ikhono layo lokusebenzisa izimiso nemiqondo engajwayelekile lisivumela ukuthi sihlole imingcele emisha ekuxazululeni izinkinga.

Ngethemba ukuthi lesi sihloko sivuse intshisekelo yakho emhlabeni othokozisayo wama-algorithms angewona wokubala! Njengoba sidlulela esikhathini esizayo, sizoqhubeka nokubona intuthuko kanye nokutholwayo okubekela inselele imikhawulo yekhompuyutha evamile. Zizwe ukhululekile ukuhlola okwengeziwe ngalesi sihloko esithakazelisayo futhi uthole izindlela ezintsha zokuxazulula izinkinga!