In hybrid flow shop scheduling problem (HFS) with unrelated parallel machines, a set of n jobs are processed on k machines. A mixed integer linear programming (MILP) model for the HFS scheduling problems with unrelated parallel machines has been proposed to minimize the maximum completion time (makespan). Since the problem is shown to be NP-complete, it is necessary to use heuristic methods to ...

in this paper, we study the generalized bin covering problem. for this problem an exact algorithm is introduced which can nd optimal solution for small scale instances. to nd a solution near optimal for large scale instances, a heuristic algorithm has been proposed. by computational experiments, the eciency of the heuristic algorithm is assessed.

Along several years, Nokia has utilized user experience heuristics for assessing design prototypes with a panel of internal experts. In this paper, we describe how we have tailored the traditional heuristic evaluation method to suit the needs of a large multinational corporate. HEURISTIC EVALUATION Heuristic evaluation method [3] has traditionally been used for evaluating usability against a se...

In this paper, the capacitated location-routing problem with fuzzy demands (CLRP-FD) is considered. The CLRP-FD is composed of two well-known problems: facility location problem and vehicle routing problem. The problem has many real-life applications of which some have been addressed in the literature such as management of hazardous wastes and food and drink distribution. In CLRP-FD, a set of c...

A hybrid meta-heuristic optimization method is introduced to efficiently find the optimal shape of concrete gravity dams including dam-water-foundation rock interaction subjected to earthquake loading. The hybrid meta-heuristic optimization method is based on a hybrid of gravitational search algorithm (GSA) and particle swarm optimization (PSO), which is called GSA-PSO. The operation of GSA-PSO...

This article proposes a number of efficient heuristics for two versions of the Median Cycle Problem (MCP). In both versions the aim is to construct a simple cycle containing a subset of the vertices of a mixed graph. In the first version the objective is to minimize the cost of cycle and the cost of assigning vertices not on the cycle to the nearest vertex on the cycle. In the second version th...