Investors behavior is one of the most important discussion of the financial science in the financial market. Individual investors consider various factors when they buy and sell securities and show different behavior (Rational, Herding, Reaction and Heuristic). The main purpose of this research is to identify and categorize factors which impact individual investors behavior that are known as be...

This paper demonstrates dynamical system models of genetic algorithms that exhibit cycling and chaotic behavior. The genetic algorithm is a binary-representation genetic algorithm with truncation selection and a density-dependent mutation. The density dependent mutation has a separate mutation rate for each bit position which is a function of the level of convergence at that bit position. Densi...

We propose a structure-exploiting heuristic for the justification-based stochastic local search (SLS) method CRSat for Boolean circuit satisfiability. Experimental evaluation shows that the proposed depth-based heuristic significantly improved the performance of CRSat on structural instances arising from industrial applications. A proof of probabilistically approximate completeness (PAC) of CRS...

Abstract The unusual volumetric properties of both proteated and deuterated water are explored by carefully comparing their developing a heuristic molecular model to describe the behavior. behavior is further relating these other well-known thermodynamic properties.

The literature views aggressive trading behavior as the key for representativeness heuristic traders to survive in competition with rational traders. This paper provides another reason. That is, in this dynamic model of a competitive securities market, representativeness heuristic traders can derive more expected profit from the misvaluations (created by noise traders) than can rational traders...

Heuristic functions play a crucial rule in optimal planning, and the theoretical limitations of algorithms using such functions are therefore of interest. Much work has focused on finding bounds on the behavior of heuristic search algorithms, using heuristics with specific attributes. Recently, it has been shown that in domains that contain transpositions, even heuristics that are intuitively c...

This paper investigates dynamics of a local search trajectory generated by running the Or-opt heuristic on the traveling salesman problem. This study evaluates the dynamics of the local search heuristic by estimating the correlation dimension for the search trajectory, and finds that the local heuristic search process exhibits the transition from high-dimensional stochastic to low-dimensional c...

Fuzzy Cognitive Maps (FCMs) have successfully been applied in numerous domains to show the relations between essential components in complex systems. In this paper, a novel learning method is proposed to construct FCMs based on historical data and by using meta-heuristic: Genetic Algorithm (GA), Simulated Annealing (SA), and Tabu Search (TS). Implementation of the proposed method has demonstrat...