In this paper, a tour-based multi-objective logistics model for optimized scheduling of the delivery of critical items in a disaster relief operation is proposed. Our model considers multi-items, multi-vehicles, multi-periods, and a split delivery scenario in a disaster. Two heuristic approaches are introduced to solve the logistics problem. In the first approach, a genetic algorithm is applied...

This work presents an analytical approach to the design of a gesture vocabulary (GV) using multiobjectives for psycho-physiological and gesture recognition factors. A meta-heuristic approach is taken by decomposing the problem into two sub-problems: (i) finding the subsets of gestures that meet a minimal accuracy requirement, and (ii) matching gestures to commands to maximize the human factors ...

The constant returns to scale assumption maintained by neoclassical theorists for justifying the black-box structure of production technology in long run does not necessarily allow one to infer that there are no scale benefits available in its sub-technologies. Most of real-life production technologies are multi-stage in nature, and the sources of increasing returns lie in the sub-technologies....

We propose a new approach for scheduling with strict deadlines and apply this approach to the TimeConstrained Project Scheduling Problem (TCPSP). To be able to meet these deadlines, it is possible to work in overtime or hire additional capacity in regular time or overtime. For this problem, we develop a two stage heuristic. The key of the approach lies in the first stage in which we construct p...

 We address the two-stage multi-machine assembly scheduling problem to minimize total completion times of all jobs. The first stage consists of m independently working machines where each machine produces its own component. The second stage consists of two independent and identical assembly machines. The processing of a job at the second stage cannot start until its m components, produced by t...