Cost-effective manufacturing processes or products are no longer the only requirements for business sustainability. An approach based on Game Theory is suggested to find solutions bi-objective problems. In particular, Stackelberg’s technique employed and complemented with Factors Scaling tool help users in defining its strategy optimizing process product quality characteristics. No subjective i...

Smart agriculture which integrates the with Internet of Things (IoT) has attracted attention since it contributes to increase productivity and quality crops, reduce energy consumption facilitate farmers. Wireless sensor networks (WSNs) unmanned aerial vehicles (UAVs) are two most commonly deployed devices that used for enabling smart agriculture. In this paper, we design a collaborative WSN-UAV...

For a practical structural health monitoring (SHM) system, the traditional single objective methods for optimal sensor placement (OSP) cannot always obtain result of deployment without sacrificing other targets, which creates obstacles to efficient use sensors. This study mainly focuses on establishing bi-objective optimization method select positions. The significance several single-objective ...

In this paper the multi-mode resource-constrained project scheduling problem with discounted cash flows is considered. Minimizing the makespan and maximization the net present value (NPV) are the two common objectives that have been investigated in the literature. We apply one evolutionary algorithm named multiobjective particle swarm optimization (MOPSO) to find Pareto front solutions. We used...

This paper proposes a framework named multiobjective ant colony optimization based on decomposition (MoACO/D) to solve bi-objective traveling salesman problems (bTSPs). In the framework, a bTSP is first decomposed into a number of scalar optimization subproblems using Tchebycheff approach. To suit for decomposition, an ant colony is divided into many subcolonies in an overlapped manner, each of...

A new bi-objective genetic programming (BioGP) technique has been developed for meta-modeling and applied in a chromatographic separation process using a simulated moving bed (SMB) process. The BioGP technique initially minimizes training error through a single objective optimization procedure and then a trade-off between complexity and accuracy is worked out through a genetic algorithm based b...

One of the key issues in mining is the hauling system. Truck and shovels are the most widely used transportation equipment in mines. In this paper, a two-phase simulation-based optimization is presented to maximize utilization of hauling system in the largest Iranian open-pit copper mine. In the first phase, The OptQuest for Arena software package was used to solve the optimization problem to p...

It takes two design goals as different game players and design variables are divided into strategy spaces owned by corresponding game player by calculating the impact factor and fuzzy clustering. By the analysis of behavior characteristics of two kinds of intelligent pigs, the big pig’s behavior is cooperative and collective, but the small pig’s behavior is noncooperative, which are endowed wit...

Graph theory based methods are powerful means for representing structural systems so that their geometry and topology can be understood clearly. The combination of graph theory based methods and some metaheuristics can offer effective solutions for complex engineering optimization problems. This paper presents a Charged System Search (CSS) algorithm for the free shape optimizations of thin-wall...