Description: Convergence analysis and performance of the extended artificial
physics optimization algorithm.artificial physics optimization (EAPO), a population-based,
stochastic, evolutionary algorithm (EA) for multidimensional search and optimization.
EAPO extends the physicomimetics-based Artificial Physics Optimization (APO) algorithm
by including each individual’s best fitness history. Including the history improves EAPO’s
search capability compared to APO. EAPO and APO invoke a gravitational metaphor in
which the force of gravity may be attractive or repulsive, the aggregate effect of which is
to move individuals toward local and global optima. A proof of convergence is presented
that reveals the conditions under which EAPO is guaranteed to converge
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....\APO.m
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