multi objective design techniques
Multi-objective Optimization of Hard Milling Process using Evolutionary Computation Techniques
... Abstract: This paper focuses on determination of optimum cutting conditions for the efficient hard milling performance of the selected process parameters using hybrid method of response surface methodology and ...
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Multi-objective Algorithm for Optimal Design
... It is a mathematical optimization method, and it is suitable for the local search techniques. Tabu search is using memory structure to give the best performance of a local search method. It uses a neighborhood ...
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Multi-Objective Meta Heuristic Optimization Algorithm with Multi Criteria Decision Making Strategy for Aero-Engine Controller Design
... classical multi-objective optimization approaches, the task of finding multiple Pareto-optimal solutions is achieved by executing many independent single-objective optimizations, each time finding a ...
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The Multi-Objective Genetic Algorithm Based Techniques for Intrusion Detection
... The design of the algorithm is independent of the encoding of the variables and thus the proposed algorithm can work with almost any kind of encoding (so long as suitable genetic variation operators are provided ...
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Multi-objective design of robust flight control systems
... The research will now focus on improving the search of an optimal solution for both techniques (more aggressive controllers in the first case, robust in the whole considered flight envelope for second one). ...
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Optimum Design Of PID Controller Using Multi-objective CBBO Algorithm
... Nearly in all process control systems, controller can be a vital introductory observe. Lots of work has been carried out by the researchers and several controller systems are provided to stabilize nonlinear, stable and ...
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Multi objective evolutionary design of robust controllers on the grid
... ary multi-objective optimisation techniques with the large scale distributed high performance computing resources offered by the grid computing paradigm, engineers and designers can effectively address ...
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A two-loop optimization strategy for multi-objective optimal experimental design
... modern techniques (Peleg, et ...experimental design (OED) into parameter estimation procedure has a good potential to improve estimation quality for high- dimension systems with sparse and noisy data for ...
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Design Methodology for Operational Trans-Conductance Amplifier by using Multi Objective Optimization Techniques
... Some approaches tie the problem of optimization of the specific topology of a circuit and its parameters, which makes necessary a relatively exhaustive search of the space of parameters. (MacEachern, 2009; Hassan et al., ...
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Multi objective Design and Modeling of a Green Supply Chain GSC
... been well studied, and the typical approach taken by most researchers and practitioners uses mathematical techniques pursuing programming optimization of a single objective function or multiple ...
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The application of multi-objective robust design methods in ship design
... robust design methodology since Taguchi’s work, particularly the statistical techniques ...experimental design and statistical analysis. The approach to experimental design involved a product ...
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A procedure for multi-objective optimization of tire design parameters Pages 199-210 Download PDF
... tire design parameters were ...tire design parameter values, FE simulations were ...tire design parameters and strain energy density at belt edge and chafer were developed and ...in ...
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A Multi-objective Approach for Multi-commodity Location within Distribution Network Design Problem
... a multi-objective genetic algorithm (MOGA) to find a set of optimal pareto solution for Supply chain network (SCN) ...to design and plan a production –distribution system along the supply ...for ...
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NBI-RPRGM for Multi-objective Optimization Design of Bio-Processes
... one objective usually means degrading others. Thus, the real purpose of multi-objective optimization is to find the set of solutions which represent the relatively best alternatives ( see for ...
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A Lexicographic Approach for Multi-Objective Optimization in Antenna Array Design
... In this appendix we provide some examples aimed at clarifying how we can build the mapping function D(x) introduced in Section 2. In particular, we consider three single-objective cases picked up from classical ...
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Multi-objective optimal design of the tuned mass-damper-inerter (TMDI) for stochastically support excited building structures
... The multi-objective design of the tuned-mass-damper-inerter (TMDI) was considered in this study for seismic excitations modeled as stationary stochastic ...first objective, representing the ...
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A Survey on Leakage Power Reduction Techniques by Using Power Gating Methodology
... The Bin-Packing (BP) technique is very efficient when it is applied to small circuits that have unbalanced structures. Limitation is that the BP technique does not take the physical locations of the gates on the chip ...
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Optimization of Adaptation - A Multi-objective Approach for Optimizing Changes to Design Parameters
... single objective optimization, an initial design might lose its optimality as time passes due to changes that influence the objective function, or it might become infeasible with the changing of ...
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MEMETIC ALGORITHM WITH MULTI-PARENT CROSSOVER (MA-MPC) FOR MULTI-OBJECTIVE NETWORK DESIGN
... Memetic Algorithm (MA) isknown to be one of the highly effective meta-heuristic approaches for solving a large number of constraint satisfaction and optimization problems [1]. One of the key features of a MA is the ...
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Multi objective Thermal Power Scheduling by Evolutionary Search Weighted Simulation Techniques
... The EPP problem has been formulated in section II is a multi- objective nonlinear problem. Various solution methods namely Newton-Raphson method, weight simulation method have been proposed in the ...
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