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Multi-objective

Strength Pareto Evolutionary Algorithm based Multi-Objective Optimization for Shortest Path Routing Problem in Computer Networks

Strength Pareto Evolutionary Algorithm based Multi-Objective Optimization for Shortest Path Routing Problem in Computer Networks

... The objective functions related to cost, time, reliability and risk are appropriated for selecting the most satisfactory route in many communication network optimization ...are multi-objective in ...

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Multi-objective and multi-criteria optimization for power generation expansion planning with CO2 mitigation in Thailand

Multi-objective and multi-criteria optimization for power generation expansion planning with CO2 mitigation in Thailand

... the multi-objective optimization problem as a single objective by linear combina- tion of all original criteria, which is called the “a priori ...

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Multi-Objective Optimization Algorithm to the Analyses of Diabetes Disease Diagnosis

Multi-Objective Optimization Algorithm to the Analyses of Diabetes Disease Diagnosis

... clustering multi- objective optimization algorithm (ECMO) to analyze the data of patients suffering from diabetes ...main objective of this work is to maximize the prediction accuracy of cluster and ...

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Single and multi–objective optimization of path placement for redundant robotic manipulators

Single and multi–objective optimization of path placement for redundant robotic manipulators

... (multi- objective problem) we compute the path place- ment such that distinct indices of kinematic perfor- mance are optimized on different zones of the ...

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Multi-Objective Cooperative Paths Planning for Multiple Parafoils System Using a Genetic Algorithm

Multi-Objective Cooperative Paths Planning for Multiple Parafoils System Using a Genetic Algorithm

... In summary, the current parafoil already has the ability to fly autonomously, so it is possible to plan feasible paths for multiple parafoils. The studies about single parafoil path planning have achieved remarkable ...

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Statistics of the Pareto front in Multi-objective Optimization under Uncertainties

Statistics of the Pareto front in Multi-objective Optimization under Uncertainties

... In section 2, we illustrate the difficulty about the determination of statistics of families of curves and the pro- posed approach. The rest of the paper is organized as follows. In section 3, the mathematical model of ...

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Designing an Integrated Multi-objective Supply Chain Network Considering Volume Flexibility

Designing an Integrated Multi-objective Supply Chain Network Considering Volume Flexibility

... Differential evolution (DE) is a novel evolutionary algorithm recently introduced by Storn and Price (18) for optimization problems over continuous spaces. Due to its ease of use, fast convergence and robustness, DE has ...

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A Multi-Objective Optimization Approach for Fault-Tolerance Provisioning in Multi-Radio Hybrid Wireless-Optical Broadband Access Networks

A Multi-Objective Optimization Approach for Fault-Tolerance Provisioning in Multi-Radio Hybrid Wireless-Optical Broadband Access Networks

... a multi-objective optimization problem, and a heuristic is pro- posed to solve this ...that multi-radio routers can be exploited to improve the performance of WOBANs, providing wireless and optical ...

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Multi-objective approach for robot exploration

Multi-objective approach for robot exploration

... This work addresses the problem of single robot coverage and exploration of an envi- ronment with the aim of finding a specific previously known object. As limited time is a constraint of interest we cannot search for an ...

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SOLVING BIPOLAR MAX-TP EQUATION CONSTRAINED MULTI-OBJECTIVE OPTIMIZATION PROBLEMS

SOLVING BIPOLAR MAX-TP EQUATION CONSTRAINED MULTI-OBJECTIVE OPTIMIZATION PROBLEMS

... fuzzy multi-objective linear programming subject to max-t norm composition fuzzy relation equations for medical ...multiple objective optimization problem under a max-Archimedean t-norm fuzzy ...

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Multi-objective optimization with Kriging surrogates using “moko”, an open source package

Multi-objective optimization with Kriging surrogates using “moko”, an open source package

... for Multi-Objective Kriging Optimization), is written in R language and presents three multi-objective optimization algorithms: (i) MEGO, in which the efficient global optimization algorithm ...

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Multi-objective approaches for the open-pit mining operational planning problem

Multi-objective approaches for the open-pit mining operational planning problem

... three multi-objective heuristic algorithms based on Two-phase Pareto Local Search with VNS (2PPLS-VNS), Multi-objective Variable Neighborhood Search (MOVNS) and Non-dominated Sorting Genetic ...

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 MULTI-OBJECTIVE OPTIMIZATION OF EDM PARAMETERS USING GREY RELATION ANALYSIS

MULTI-OBJECTIVE OPTIMIZATION OF EDM PARAMETERS USING GREY RELATION ANALYSIS

... for multi(objective optimization of the parameters, which can be done with various techniques such as Genetic Algorithm, Ant colony optimization, ...

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The Performance Analysis of an Improved PSOIW for Multi-objective Optimization

The Performance Analysis of an Improved PSOIW for Multi-objective Optimization

... Abstract—In this paper, we investigate the search perfor- mance of an improved particle swarm optimizer with inertia weight (PSOIWα) for multi-objective optimization. The basic idea of the proposed PSOIWα, ...

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ABORDAGEM MULTIOBJETIVO PARA OTIMIZAÇÃO DE REDES DE FILAS FINITAS Multi-objective Approach for Finite Queuing Network Optimization

ABORDAGEM MULTIOBJETIVO PARA OTIMIZAÇÃO DE REDES DE FILAS FINITAS Multi-objective Approach for Finite Queuing Network Optimization

... a multi-objective algorithm that was recently developed to simultaneously optimize the total number of buffers, the over- all service rate, and the throughput of a general-service finite queuing ...a ...

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Multi-objective energy storage power dispatching using plug-in vehicles in a smart-microgrid

Multi-objective energy storage power dispatching using plug-in vehicles in a smart-microgrid

... In this work, a multi-objective ESS management problem with probabilistic forecasts is developed. Energy storage is studied on a smart-microgrid scenario composed of renewable energy genera- tors, MG ...

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Multi-objective metaheuristic algorithms for the resource-constrained project scheduling problem with precedence relations

Multi-objective metaheuristic algorithms for the resource-constrained project scheduling problem with precedence relations

... The algorithms were tested in 160 instances adapted from literature, and compared using four multi-objective performance measures: distance, hypervolume, epsilon and error ratio. Based on the results ...

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A Real Time Practical Approach for Multi Objective Job Shop Scheduling Using Fuzzy Logic Approach

A Real Time Practical Approach for Multi Objective Job Shop Scheduling Using Fuzzy Logic Approach

... Multi objective job shop scheduling: Single Objective scheduling is related to maximizing a single function subject to a number of ...extension, multi objective scheduling is defined as ...

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A modified interactive procedure to solve multi-objective group decision making problem

A modified interactive procedure to solve multi-objective group decision making problem

... nontrivial multi-objective problems, one cannot identify a single solution that simultaneously optimizes each ...an objective further, other objectives suffer as a ...an objective without ...

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