Multi-objective differential evolution
Multi-objective Differential Evolution for the Flow shop Scheduling Problem with a Modified Learning Effect
... effective multi-objective differential evolution algorithm (MDES) to solve a permutation flow shop scheduling problem (PFSSP) with the modified Dejong's learning ...basic differential ...
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Multi-objective Differential Evolution (MODE) for Task Scheduling in Cloud Computing
... The Multi-objective Differential Evolution (MODE) implemented with J.D.K (1.8) and those workloadparameters used in the experiment are one datacenter,1-10 number of tasks and the length of ...
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Generation Expansion Planning Using Multi Objective Differential Evolution G Haripriya & Dr M Veera Kumari
... using Multi-objective differential evolution (MODE) for solving the GEP ...for objective functions like minimization of best investment and best outage costs through ...
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Optimum Pareto design of vehicle vibration model excited by non-stationary random road using multi-objective differential evolution algorithm with dynamically adaptable mutation factor
... of multi-objective differential evolution with dynamically adaptable mutation factor is used for Pareto optimization of a 5-degree of freedom vehicle vibration model excited by non-stationary ...
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A hybrid model of multi-objective differential evolution algorithm and various decision-making methods to optimize the batch ABE fermentation process
... the multi-objective optimization for the ABE continuous process coupled with an in situ separation unit, namely vacuum fermentation, gas stripping, and pervapora- tion, to determine the optimal operating ...
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Linear Antenna Array Synthesis with Constrained Multi-Objective Differential Evolution
... An MO algorithm usually returns a series of non-dominated solutions, unlike a unique solution as returned by a single-objective algorithm. For comparison with the published single-objective optimization ...
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DNA Sequence Motif Discovery Using Evolutionary Multi Objective Differential Evolution Algorithm
... Abstract:- Motif finding in biological sequences is a widely studied yet not fully solved problem. Exact solution to this problem is NP-complete. However, all existing computational methods have been based on some ...
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Distributed parallel cooperative coevolutionary multi-objective large-scale immune algorithm for deployment of wireless sensor networks
... coevolutionary multi-objective large-scale immune algorithm that is implemented using the message passing interface ...layers: objective, group and individual layers. First, to address each ...
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MULTI-OBJECTIVE OPTIMAL REACTIVE POWER DISPATCH USING DIFFERENTIAL EVOLUTION
... new multi-objective differential evolution method is employed to optimize the reactive power dispatch ...constrained multi objective optimization problem where the real power ...
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Pareto Optimal Multi-Objective Dynamical Balancing of a Slider-Crank Mechanism Using Differential Evolution Algorithm
... a multi-objective problem ...rpm. Objective functions were derived from Newton- Euler equations for mechanism links and they were combined in a system of ...a multi-objective ...
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Multi-objective evolutionary algorithms of spiking neural networks
... evaluated multi-objective evolutionary algorithm (MOEAs) methods with SNN such as multi-objective genetic algorithm (MOGA) with SpikeProp and showed that this algorithm performs well (Jin et ...
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Differential evolution algorithm for multi-commodity and multi-level of service hub covering location problem Pages 127-138 Download PDF
... second objective function was introduced to minimize the service times in the hubs and a weighted-based multi-objective imperialist competitive algorithm was designed to find near-optimal ...
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Multi-population inflationary differential evolution algorithm with adaptive local restart
... the objective function criteria according to the following criteria: for each function, algorithms are ranked according to the obtained best objective value; for each function, algorithms are ranked ...
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Multi-objective Optimization of Biochemical System Production Using an Improve Newton Competitive Differential Evolution Method
... the multi-objective optimization of the production in a biochemical system, two objectives need to be ...first objective is to maximize the production while the second objective is to minimize ...
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Design and analysis of hybrid fuzzy PID controller for diverse source of power system using DE optimization technique
... A differential evolution algorithm optimized hybrid FPID controller is considered in this research article for Load Frequency Control of multi area interconnected ...
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Research on Multi beam Scanning and Optimization Technology for Time Modulated Array
... the differential evolution algorithm to optimize the sidelobe and ...the differential evolution algorithm optimizes the parameters , ) to make the main frequency beam and the harmonic ...
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The Improved Differential Evolution Algorithm for Multi Floor Facility Layout Problems
... the multi floor facility layout such as SPACECRAFT, MULTIPLE, SABLE, STAGE, ...the differential evolution algorithm used to solve the MFLPwith multi objective, so in this research will ...
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Multi Floor Facility Layout Problems Solving by the Differential Evolution Method
... the multi-floor facility layout ...for multi-floor facility layout (no more than 3 ...for multi-floor layout by adding the necessary import information calculation of the cost and time of moving ...
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A Modified Differential Evolution Algorithm for Resource Constrained Multi-project Scheduling Problem
... Kim et al. [15] proposed a hybrid genetic algorithm with a fuzzy logic controller for RCMPSP with an objective of minimizing makespan and total tardiness penalty. Goncalves et al. [16] took an approach of a ...
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Adaptive multi-population inflationary differential evolution
... single objective global optimisation competitions of the Congress on Evolutionary Computation (CEC) 2005, 2011 and ...the multi-population version with adaptation of δ local and n LR if these two parameters ...
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