Navin K Adhikari

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About

Navin K Adhikari is a researcher whose work lies at the intersection of artificial intelligence, evolutionary computation, and real-time strategy (RTS) games. His primary research areas include multi-objective optimization, cooperative co-evolution, and the automated generation of tactical behaviors for game AI. Adhikari’s most notable contribution is the development of a multi-objective, cooperative co-evolutionary algorithm for evolving micromanagement tactics in RTS games, such as controlling diverse unit types in combat scenarios. This work, published in 2019, advances prior approaches by enabling the simultaneous optimization of multiple conflicting objectives—like minimizing losses while maximizing damage—through a cooperative co-evolution framework. Although his most-cited paper has garnered 5 citations, it represents a focused and innovative step in evolutionary game AI, demonstrating how complex tactical behaviors can emerge from co-evolving specialized subpopulations of controllers. Adhikari’s research is particularly valuable for students and researchers interested in the intersection of evolutionary algorithms and game theory, offering a practical methodology for tackling multi-agent coordination problems in dynamic environments.