Constraint programming has gained prominence as an effective and declarative paradigm for modeling and solving complex combinatorial problems. In particular, techniques based on local search have proved practical to solve real-world problems, providing a good compromise between optimality and efficiency. In spite of the natural presence of concurrency, there has been relatively limited effort t...

This paper examines the potential to use multiple objective programming to reduce nutrient excretion from dairy cows through incorporation of nutrient excretion functions into a ration formulation framework. In a typical ration formulation model, a ration is formulated to minimize cost while providing sucient nutrients to meet the needs of the animal type being fed. To reduce the nutrient load...

This research proposes a preemptive fuzzy goal programming model for multi-objective multi-mode resource constrained project scheduling problem. The objectives of the problem are minimization of the total time and the total cost of the project. Objective in a multi-mode resource-constrained project scheduling problem is often a minimization of makespan. However, both time and cost should be con...

A generalization of the dynamic programming algorithm applied to the multiple alignment of protein sequences is proposed. The algorithm has two main procedures: (i) local correspondences between sequences hereafter called anchor points are selected according to a criterion that combines local and global simlilarity values, (ii) the alignment is constructed recursively by choosing and linking to...

This paper presents an application to the multi-objective stochastic transportation problem in fuzzy environment. In this paper, we focus on our attention to multiobjective stochastic transportation problem involving an inequality type of constraints in which all parameters ( supply and demand ) are log-normal random variable and the objectives are non-commensurable and conflicting in nature. A...

A comprehensive approach to programming concurrent knowledge based systems in logic must cater for both knowledge processing and systems handling capabilities. This paper reviews requirements for supporting both capabilities in a resolution based framework, and considers logic programming schemes which sustain each kind of capability. It then considers attempts to reconcile these schemes to sup...

This paper deals with fuzzy goal programming approach to multi-objective linear plus linear fractional programming problem based on Taylor series approximation. In the model formulation of the problem, we first construct the membership functions by determining individual optimal solutions of the objective functions subject to the system constraints. The membership functions are then transformed...

Developing laser processes for industrial applications is a challenging and laborious task. Conventional controllers scan systems lack the ability to predict actual path of beam on workpiece, making extensive trial-and-error testing different parameters delay settings necessary in order achieve satisfactory results. Finding balance between accuracy achieved throughput typically compromise, vari...

Proposing a hierarchical group compromise method can be regarded as a one of major multi-attributes decision-making tool that can be introduced to rank the possible alternatives among conflict criteria. Decision makers’ (DMs’) judgments are considered as imprecise or fuzzy in complex and hesitant situations. In the group decision making, an aggregation of DMs’ judgments and fuzzy group compromi...

data envelopment analysis (dea) as a non-parametric method for efficiency measurement allows decision making units (dmus) to select the most advantageous weight factors in order to maximize their efficiency scores.  in most practical applications of dea presented in the literature, the presented models assume that all inputs are fully desirable. however, in many real situations undesirable inpu...