Metaphor for learning: an evolutionary algorithm

The organizational algorithm is examined as a computational approach to representing interpersonal learning. The structure of the algorithm is introduced and described in context to the simple genetic algorithm. A comparison is made of the performance of both algorithms with respect to three different test functions: a simple single-peaked function, the standard Matlab "peaks" function (Mathworks 1998), and a multiple occurrence of a single-optimum Gaussian function. Algorithm performance is discussed relative to traditional optimization figures of merit as well as with respect to a learning analogy.

• Type: Conference
• Year: 2000
• Where: GECCO
• Authors: Jody Lee Louse, Alexander Kain, James Hines
• Keywords: Algorithm, GECCO 2000, Optimization, Organizational Algorithm, Simple Genetic Algorithm