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...

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...

In present study, a three-step multi-objective optimization algorithm of cyclone separators is catered for the design objectives. First, the pressure drop (Dp) and collection efficiency (h) in a set of cyclone separators are numerically evaluated. Secondly, two meta models based on the evolved Group Method of Data Handling (GMDH) type neural networks are regarded to model the Dp and h as the re...

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...

Background Most patients with Alzheimer's disease (AD) have an insidious onset and frequently atypical clinical symptoms, which are considered a normal consequence of aging, making it difficult to diagnose AD medically. But then again, accurate diagnosis is critical prevent degeneration provide early treatment for patients. Objective This study aims establish novel EEG-based classification fram...

This paper studies a location–routing–inventory problem in a multi-period closed-loop supply chain with multiple suppliers, producers, distribution centers, customers, collection centers, recovery, and recycling centers. In this supply chain, centers are multiple levels, a price increase factor is considered for operational costs at centers, inventory and shortage (including lost sales and back...

despite the growing use of evolutionary multi-objective optimization algorithms in different categories of science, these algorithms as a powerful tool in portfolio optimization and specially solving multi-objective portfolio optimization problem is still in its early stages. in this paper, moeas have been used for solving multi-objective portfolio optimization problem in tehran stock market. f...