Optimum controller placement in the presence of several conflicting objectives has received significant attention Software-Defined Wide Area Network (SD-WAN) deployment. Multi-objective evolutionary algorithms, like Non-dominated Sorting Genetic Algorithm II (NSGA-II) and Particle Swamp Optimization (MOPSO), have proved helpful solving Controller Placement Problem (CPP) SD-WAN. However, these a...

This paper proposes a novel multi-objective ant colony system (MOACS) approach to solve the cooperative task allocation problem of multi-robot systems. The is formulated as multiple traveling salesman (MTSP). objectives are minimize total and maximum cost robotic vehicles so that workload each vehicle could be balanced. time matrices salesmen different asymmetric due flight speeds executing tas...

Labyrinth Weir (LW) is a popular control structure that passes significantly higher flow rate compared to the linear weirs. In order approach optimal design of trapezoidal LW, multi-objective problem defined concurrently minimize LW consumed concrete volume and maximize its discharge capacity. Simultaneously, Radial Basis function Neural Networks (RBFNN) designed used for estimating coefficient...

Recently, with the development of mobile devices and crowdsourcing platform, spatial (SC) has become more widespread. In SC, workers need to physically travel complete spatial–temporal tasks during a certain period time. The main problem in SC platforms is scheduling set proper achieve based on different objectives. actuality, real-world applications optimize multiple objectives together, these...

Al-Mg-based composite is used in producing a variety of components. To improve the machinability composite, MoS2 added. For characterizing machining different wt.% (2, 4, and 6) are added as reinforcement. Wire Electrical Discharge Machining (WEDM) process performed to analyze kerf width surface roughness. Due complex nature WEDM process, necessity for its optimization through use innovative me...

The performance of horizontal axis tidal current turbines (HATCT) strongly depends on their geometry. According to this fact, the optimum performance will be achieved by optimized geometry. In this research study, the multi objective optimization of the HATCT is carried out by using four different multi objective optimization algorithms and their performance is evaluated in combination with bla...

The Mixed No-Idle Flow-shop Scheduling Problem (MNIFSP) is an extension of flow-shop scheduling, which has practical significance and application prospects in production scheduling. To improve the efficacy solving complicated multiobjective MNIFSP, a MultiDirection Update (MDU) based Multiobjective Particle Swarm Optimization (MDU-MoPSO) proposed this study. For biobjective optimization problem...

Hubs act as intermediate points for the transfer of materials in transportation system. In this study, a novel p-mobile hub location–allocation problem is developed. Hub facilities can be transferred to other hubs next period. Implementation mobile reduce costs opening and closing hubs, particularly an environment with rapidly changing demands. On hand, movement reduces lifespan adds relevant c...