Flow shop scheduling problem has a wide application in the manufacturing and has attracted much attention in academic fields. From other point, on time delivery of products and services is a major necessity of companies’ todays; early and tardy delivery times will result additional cost such as holding or penalty costs.  In this paper, just-in-time (JIT) flow shop scheduling problem with preemp...

The Vehicle Routing Problem (VRP), a famous problem of operation research, holds a central place in combinatorial optimization problems. In this problem, a fleet vehicles with Q capacity start to move from depot and return after servicing to customers in which visit only ones each customer and load more than its capacity not at all. The objective is to minimize the number of used vehicles and t...

Dealing with multi-objective combinatorial optimization and local search, this article proposes a new multi-objective meta-heuristic named Pareto Adaptive Decomposition algorithm (PAD). Combining ideas from decomposition methods, two phase algorithms and multi-armed bandit, PAD provides a 2-phase modular framework for finding an approximation of the Pareto front. The first phase decomposes the ...

This study focusses on a two objective type-2 simple assembly line balancing problem. Its primary is minimizing the cycle time, or equivalently, maximizing production rate of line. Minimization workload imbalance among workstations considered as secondary objective. Since problem known to be intractable, reactive tabu search algorithm proposed for solution. Although well-known meta-heuristic pr...

In the science of operation research and decision theory, selection is the most important process. Selection is a process that studies multiple qualitative and quantitative criteria, related to the science of management, which are mostly incompatible with each other. The multi criteria selection of a renewable energy portfolio is one of the main issues considered in multi criteria literatur...

vehicular ad-hoc network (vanet) is an important component of intelligent transportation systems, in which vehicles are equipped with on-board computing and communication devices which enable vehicle-to-vehicle communication. consequently, with regard to larger communication due to the greater number of vehicles, stability of connectivity would be a challenging problem. clustering technique as ...

it is shown in [1] that the optimal downlink radio resource allocation for non-realtime traffic in cellular cdma/tdma networks can be mapped to a multi-dimensional multiple-choice knapsack problem (mmkp) which is np-hard. in this correspondence we propose a heuristic algorithm with polynomial time complexity for this problem. numerical results indicate significant computational performance impr...

مراقبت سلامت خانگی، ارائه مجموعه‎‌‌ای از خدمات مراقبتی در منزل پیشگیری تا توان‌بخشی و مراقبت‎‌های اولیه حرفه‌ای پرستاری است. این پژوهش یک مدل ریاضی دو‌هدفه بر اساس رویکرد برنامه‎ریزی خطی عدد صحیح مختلط برای مسئله مسیریابی زمان‌بندی مراقبت‎ خانگی با اهداف حداقل‌سازی هزینه‌های سفر پرستاران حداکثر تفاوت‌های زمان کاری بین شده درنظرگرفتن حالت‎‌های دوگانه حمل‌ونقل عمومی خصوصی، مراکز درمانی آغازین پای...

In this paper, a hybrid meta-heuristic approach is proposed to optimize the mathematical model of a system with mixed repairable and non-repairable components. In this system, repairable and non-repairable components are connected in series. Redundant components and preventive maintenance strategies are applied for non-repairable and repairable components, respectively. The problem is formulate...