I-Los izimoto ezi-hybrid Sekuyisikhathi eside behamba phambili ekushintsheni ezimotweni ezihlanzekile, ezivumela inhlanganisela yamandla kagesi kanye nezinsalela ezimbiwa phansi. Yize izimoto ezisebenza ngogesi ngokugcwele zibumba ikusasa lesikhathi eside, ama-hybrids asamele inketho esebenzayo kulabo abafunayo. ukunciphisa ukusetshenziswa kukaphethiloli kanye nezikhithi.
Kulo mongo, ukukhulisa ukusebenza kahle kwezimoto ezihlanganisiwe kube yinselelo eqhubekayo. Nakuba zingasebenza ngemodi kagesi ohambweni olufushane, ukusebenza kahle kwazo kulinganiselwe uma kudingekile ukushintshela enjinini yangaphakathi evuthayo. Kodwa-ke, isixazululo singase sibe sentuthukweni yakamuva kwezobuchwepheshe, ikakhulukazi ekusetshenzisweni kwe ama-algorithms wokuziphendukela kwemvelo.
I-Evolutionary algorithms yokukhulisa ukonga uphethiloli ezimotweni eziyingxubevange
Abacwaningi be University of California baye bathuthukisa ama-algorithms wokuziphendukela kwemvelo lokho ngcono ukusebenza kahle kwamandla yezimoto ezihlanganisiwe. Lawa ma-algorithms ahlinzeka ngesu lokuhlanganisa ukusetshenziswa kukagesi nophethiloli ngendlela ekhulisa ukonga uphethiloli. Zisekelwe phezu isimiso sokuziphendukela kwemvelo, lapho isistimu ifunda futhi ijwayelane nezimo zokushayela ukuze yenze izinqumo ezingcono mayelana nokuthi yiluphi uhlobo lwamandla okufanele lusetshenziswe nganoma yisiphi isikhathi.
Ukhiye ungaphakathi nokwandisa ukusetshenziswa kwemoto kagesi ezimweni zethrafikhi yasemadolobheni, lapho ukuma nokuqala kuvame, nasekusebenziseni injini evuthayo ohambweni olude, njengokushayela emgwaqeni onguthelawayeka, lapho ukusebenza kwenjini eshisayo kusebenza kahle kakhulu. Ngokwabacwaningi, lawa ma-algorithms angazuza ukonga okukhulu kuno 30% ngaphansi kwezimo ezithile, ngaleyo ndlela kugwenywe uphethiloli ongadingekile phakathi nohambo.
Ukuhlanganiswa kwama-algorithms ekushayeleni kwangempela
Enye yezinkinga ezinkulu lapho usebenzisa lobu buchwepheshe ukuhlanganiswa ezimotweni zangempela nezentengiso. Nokho, abacwaningi babona kusengaphambili ikusasa lapho izimoto hybrid zixhumene nomunye. Ngokwabelana ngolwazi lwesikhathi sangempela mayelana nomgwaqo, ithrafikhi, nezimo zokuhamba, lawa ma-algorithms angenza izinqumo ezingcono nakakhulu. Lokhu kushintshisana okuqhubekayo kwedatha kuzovumela ukwenziwa ngcono okukhulu kokusetshenziswa kwemithombo yamandla.
Ngaphezu kwalokho, kukhona indlela evulekile yokusebenza nabakhiqizi bezimoto futhi ngaleyo ndlela hlanganisa lobu buchwepheshe ezimotweni zabo ezikhiqiza ngobuningi. Yize kusadingeka kusayinwe izivumelwano nezinye zalezi zikhondlakhondla zezimoto, intuthuko iyathembisa.
Ama-algorithms angathuthukisa kanjani ukusebenza kahle ngokuhlanganisa i-terrain orography
Enye indlela ethokozisayo ivela I-Polytechnic University yaseMadrid, lapho ithimba labacwaningi liklama ama-algorithms acabangela i i-orography yendawo. Lawa ma-algorithms awagcini nje ngokucabangela imithambeka yomgwaqo, kodwa futhi atusa ukuthi kusheshiswe nini noma ukubhuleki ngokusekelwe emthambekeni womgwaqo. Lokhu kunikeza a ukwenza kahle okunamandla yokonga uphethiloli.
Isibonelo, ekwehleni, kuphakanyiswa ukuthi usheshise ukuze uthole inertia futhi usebenzise lawo mandla ekukhuphukeni okuzayo. Lawa ma-algorithms aphinde ahlanganise imininingwane ye-GPS ku bala isivinini esilungile kanye nokusetshenziswa kwegiya, okufaka isandla ekongeni amandla engeziwe nophethiloli.
Ikusasa lama-algorithms nezimoto ezixhunyiwe
Izimoto ezingama-Hybrid, kanye nentuthuko kuma-algorithms wokuziphendukela kwemvelo kanye nobuchwepheshe bokuxhumana, zingamela enye indlela esimeme ngaphambi kokuba izimoto ezisebenza ngogesi ngokugcwele zilawule imakethe. Lawa ma-algorithms hhayi kuphela kunciphisa kakhulu ukusetshenziswa kukaphethiloli, kodwa kunalokho uthuthukise ukusebenza kwezinjini ezihlanganisiwe ezimweni ezihlukahlukene.
Umgomo uwukuthola ukuhamba okuzinzile ngaphandle kokuphazamisa ukusebenza noma ukunethezeka komshayeli. Yize kusenendlela ethile okufanele uhambe ngayo uma kukhulunywa ngokusatshalaliswa ngobuningi kwalobu buchwepheshe, amandla okuthi ukonga uphethiloli okubalulekile kanye nokwehliswa kokukhishwa kwezinto ezingcolisayo akunakuphikwa.
Ngokufika kwezimoto eziyingxubevange ezisebenza kahle kakhulu, ezinikwa amandla yilawa ma-algorithms ahlakaniphile, bayanda abashayeli abazokwazi ukujabulela izimoto ezingagcini nje ngokulondoloza imali kuphethiloli, kodwa futhi ezifaka isandla ekusaseni elihlanzekile nelizinzile.