the determination of the ultimate pit limit (upl) is the first step in the open pit mine planning process. in this stage that parts of the mineral deposit that are economic to mine are determined. there are several mathematical, heuristic and meta-heuristic algorithms to determine upl. the optimization criterion in these algorithms is maximization of the total profit whilst satisfying the...

The Meta-DENDRAL program is a vehicle for studying problems of theory formation in science. The general strategy of Meta-DENDRAL is to reason from data to plausible generalizations and then to organize the generalizations into a unif ied theory. Three main subprobleras are discussed: (1) explain the experimental data for each ind i vidual chemical structure, (2) generalize the results from each...

data with high frequency have a particular type of none stationary that is called fractional none stationary. this property causes the emergence of long-term memory in financial time series with high frequency. the existence of long-term memory in cement industry time-series is studied in this paper at first and its presence will be confirmed in a high confidence level by two tests r/s and gph....

Many efficient meta-heuristics were developed to solve the vehicle routing problem (VRP). However, these heuristics often require large computation times and significant effort to implement. In this paper we propose a simple and efficient heuristic that only uses the Clarke and Wright’s savings heuristic, the 2-opt and the 3-opt improvement heuristics. It will be shown that the proposed heurist...

abstract— in this paper we have tried to develop an altered version of the artificial bee colony algorithm which is inspired from and combined with the meta-heuristic algorithm of firefly. in this method, we have tried to change the main equation of searching within the original abc algorithm. on this basis, a new combined equation was used for steps of employed bees and onlooker bees. for this...

In this paper, Optimization is considered as the main impact of insight problem and heuristic methods. A proposed method is represented by using two optimization algorithms; cuckoo optimization; is heuristic method and Genetic algorithm; is meta-heuristic method in order to increase the optimization level and speed of calculation as possible. The proposed methodology and technique still a subje...

Parallel solution methods contribute to efficiently address large and complex combinatorial optimization problems, vehicle routing problems in particular. Parallel exact and heuristic methods for VRP variants are increasingly being proposed and the pace seem to increase in recent years. “New” strategies have been proposed and many of the best known solutions to classical formulations have been ...

Now-a-days different meta-heuristic approaches, their variants and hybrids are being applied for solving Combinatorial Optimization Problems (COP). In this paper Resource Constrained Project Scheduling Problem (RCPSP) has been presented as a COP. This is a common problem for many construction projects. It is highly constrained and is categorized as a NP-hard problem. In our earlier work Simulat...

Deterring the optimum design of large-scale structures is a difficult task. Great number of design variables, largeness of the search space and controlling great number of design constraints are major preventive factors in performing optimum design of large-scale truss structures in a reasonable time. Meta-heuristic algorithms are known as one of the useful tools to d...