In this paper, we present a multi-parent crossover based genetic algorithm for the bi-objective unconstrained binary quadratic programming problem, by integrating the multi-parent crossover within the framework of hypervolume-based multi-objective optimization algorithm. The proposed algorithm employs a multi-parent crossover operator to generate the offspring solutions, which are used to furth...

Generally, human resources play an important role in manufacturing systems as they can affect the work environment. One of the most important factors impressing on worker performance is there being an interactional interest between workers in workshops. In this paper, we deal with this new concept in cellular manufacturing systems (CMS). Besides the existence of interactional interest, workers ...

Hub location problem (HLP) is one of the most important problems in the areas of logistics and telecommunication network design. In this paper we address the bi-objective non-strict single allocation hub location problem (BONSSAHLP). The non-strict property of this problem which allows establishment of direct links between pairs of non-hub nodes makes it somehow different from the conventional ...

In this paper, a bi- objective Operating Theater scheduling is proposed. The problem subject to order and assignment constraints. first the minimization of operating theater opening total time also called makespan in manufacturing systems while second maximize constraints satisfaction. considered as two-stage hybrid flow shop with blocking. Several metaheuristics are compared: firefly algorithm...

This paper deals with multiobjective bi-level linear programming problems under fuzzy environment. In the proposed method, tentative solutions are obtained and evaluated by using the partial information on preference of the decision-makers at each level. The existing results concerning the qualitative analysis of some basic notions in parametric linear programming problems are reformulated to s...

This research proposes a novel indicator-based hybrid evolutionary approach that combines approximate and exact algorithms. We apply it to a new bi-criteria formulation of the travelling thief problem, which is known to the Evolutionary Computation community as a benchmark multi-component optimisation problem that interconnects two classical NP-hard problems: the travelling salesman problem and...

classical deterministic inventory models consider the demand rate to be either constant or time-dependent but independent from the stock status. however, for a certain type of inventory, the demand rate may be in-fluenced by the stock level. also in many real-life problems, some products such as fruits, vegetables, phar-maceuticals and volatile liquids continuously deteriorate to evaporation, o...

in this paper, the researchers present a multi-objective linear fractional inventory model using fuzzy pro-gramming. the proposed method in this paper is applied to a problem with two objective functions. the re-sulted fuzzy model is transformed into an ordinary linear programming. the implementation of the develop-ing model presented in this paper is demonstrated through the use of some numeri...