Allocation of specific cutting plans and their scheduling to individual cutting machines presents a combinatorial optimization problem. In this respect, various approaches and methods are used to arrive to a viable solution. The paper reports three approaches represented by three discreet...

TREPAN is decision tree algorithm that utilises artificial neural networks (ANNs) in order to improve partitioning conditions when sample data is sparse. When sample sizes are limited during the tree-induction process, TREPAN relies on an ANN oracle in order to create artificial sample...

Location problems are NP-hard combinatorial optimisation problems which are widely studied. This paper presents a hybrid algorithm to solve the Uncapacitated Facility Location (UFL) problems. Denoted as hGA-PSO, this method combines the concepts of Genetic Algorithm (GA) and Particle Swarm...

Organisational research has studied the tension between exploration and exploitation for years. In essence, this body of research agrees on the necessity of a balance between explora-tive and exploitative processes to prevent an organisation from falling into a learning trap. Thus, to enhance...

The present paper introduces a new clonal particle swarm optimisation (CPSO) and PSO techniques to develop efficient adaptive forecasting models for short and long-term prediction of S&P 500 and DJIA stock indices. The basic structure of the models is an adaptive linear combiner whose weights...

Value-at-Risk (VaR) has become one of the standard measures for assessing risk not only in the financial industry but also for asset allocations of individual investors. The traditional mean-variance framework for portfolio selection should, however, be revised when the investor's concern is the...

This paper proposes an analogy between rational biological model and the organizations’ development during their existence. So, organizations’ "birth" or creation are considered the result of genetic algorithms, transformations are identified with changes that aim the adapting to the...