Browsing by Subject "Genetic algorithms."
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On merging sequencing and scheduling theory with genetic algorithms to solve stochastic job shops.
(1997)The stochastic job shop problem was solved using two genetic algorithms. The first was a stochastic constrained genetic algorithm to minimize total tardiness and to evaluate chromosomes using probability Gantt charting. ... -
Optimization of parameters for binary genetic algorithms.
(2007)In the GA framework, a species or population is a collection of individuals or chromosomes, usually initially generated randomly. A predefined fitness function guides selection while operators like crossover and mutation ... -
Risky asset price expectation formation and emergent market behaviors.
(1998)We find several interesting and intriguing results. First, results from our computer simulations reveal that market behaviors which are otherwise treated as anomalies in standard asset pricing models emerge naturally in ...