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Process / pipelineSimulation / optimization

Uboreshaji wa Malengo Mengi Unaotegemea Wakala — Utafutaji wa mageuzi uliogatuliwa katika malengo yanayoshindana

Uboreshaji wa malengo mengi unaotegemea wakala (ABMOO) huweka wakala huru ndani ya mazingira ya uigaji na huendeleza tabia au vigezo vyao ili kuboresha malengo mawili au zaidi yanayokinzana kwa wakati mmoja, na kutoa mpaka wa suluhisho unaofaa wa Pareto badala ya optimumu moja. Inafaa kwa mifumo tata inayoweza kubadilika ambapo malengo hutokana na mwingiliano wa kiwango kidogo badala ya milinganyo iliyofungwa.

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Kwa wanachama pekee

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Ingia

Method map

The neighbourhood of related methods — select a node to explore.

Vyanzo

  1. Bonabeau, E., Dorigo, M., & Theraulaz, G. (2002). Swarm Intelligence: From Natural to Artificial Systems. Oxford University Press. ISBN: 9780195131598
  2. Coello Coello, C. A., Lamont, G. B., & Van Veldhuizen, D. A. (2007). Evolutionary Algorithms for Solving Multi-Objective Problems (2nd ed.). Springer. ISBN: 9780387332543

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Agent-Based Multi-Objective Optimization — Decentralized evolutionary search across competing objectives. ScholarGate. https://scholargate.app/sw/simulation/agent-based-multi-objective-optimization

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

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Imerejelewa na

ScholarGateAgent-based multi-objective optimization (Agent-Based Multi-Objective Optimization — Decentralized evolutionary search across competing objectives). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/simulation/agent-based-multi-objective-optimization · Seti ya data: https://doi.org/10.5281/zenodo.20539026