000			01116nam a22001937a 4500
005			20250505060304.0
020			_a9783319159997
082			_a006.3/ _bKUL
100			_aKulkarni,A.J.
245			_aProbability Collectives: _bA Distributed Multi-agent System Approach for Optimization: 86 (Intelligent Systems Reference Library)
250			_a1
260			_aSingapore _bSpringer _c2024
300			_aix,157
500			_aXNRF,2248327 _b2025-03-06
520			_aThis book provides an emerging computational intelligence tool in the framework of collective intelligence for modeling and controlling distributed multi-agent systems referred to as Probability Collectives. In the modified Probability Collectives methodology a number of constraint handling techniques are incorporated, which also reduces the computational complexity and improved the convergence and efficiency. Numerous examples and real world problems are used for illustration, which may also allow the reader to gain further insight into the associated concepts.
650			_aArtificial Intelligence
700			_aTai,K.
942			_cBK
999			_c226091 _d226091