Multiobjective Placement of Electronic Components Using Evolutionary Algorithms

Deb, Kalyanmoy; Jain, Pramod Kumar; Gupta, Neeraj; Maji, Hemanta K.

doi:10.1109/tcapt.2004.831775

Cited by 94 publications

(132 citation statements)

References 9 publications

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“…For costs a weighted summation model of the elemental constituent is developed with the recent cost of the alloying additions. In case of multi-objective optimization, unlike the single objective optimization, a set of non-dominated solutions, where each solution is better than other in at least one objective, evolve;this set of solutions is called Pareto solutions [38][39][40]. In the present study, the compositions of alloys selected from the evolved Pareto solutions are developed for experimental trials.…”

Section: Introductionmentioning

confidence: 99%

Imprecise knowledge based design and development of titanium alloys for prosthetic applications

Datta

Mahfouf

Zhang

et al. 2016

Journal of the Mechanical Behavior of Biomedical Materials

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Sultana, N. (2015) Imprecise knowledge based design and development of titanium alloys for prosthetic applications.Journal Abstract Imprecise knowledge on the composition-processing-microstructure-property correlation of titanium alloys combined with experimental data are used for developing rule based models for predicting the strength and elastic modulus of titanium alloys. The developed models are used for designing alloys suitable for orthopaedic and dental applications. Reduced Space Searching Algorithm is employed for the multi-objective optimization to find composition, processing and microstructure of titanium alloys suitable for orthopaedic applications. The conflicting requirements attributes of the alloys for this particular purpose are high strength with low elastic modulus, along with adequate biocompatibility and low costs. The 'Pareto' solutions developed through multi-objective optimization show that the preferred compositions for the fulfilling the above objectives lead to β or near β alloys. The concept of decision making employed on the solutions leads to some compositions, which should provide better combination of the required attributes. The experimental development of some of the alloys has been carried out as guided by the model-based design methodology ©2015. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ 2 presented in this research. Primary characterizations of the alloys show encouraging results in terms of the mechanical properties.

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Section: Introductionmentioning

confidence: 99%

Imprecise knowledge based design and development of titanium alloys for prosthetic applications

Datta

Mahfouf

Zhang

et al. 2016

Journal of the Mechanical Behavior of Biomedical Materials

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“…The first problem is how to get close to the POF [11]. The second problem is how to keep diversity among the solutions in the obtained set.…”

Section: Multi-objective Evolutionary Algorithmsmentioning

confidence: 99%

“…To this end, we use Discrete Event Systems Specifications (DEVS) [35] over Service Oriented Architecture (SOA) [21], which offers DEVS-based simulations as a web service based on standard technologies, called DEVS/SOA. We explore several classical Multi-Objective Evolutionary Algorithms (MOEA) [11] and propose an algorithm which combines NSGA-II and SPEA2 within a DEVS/SOA framework. It allows designers to reach a larger number of solutions than classical approaches.…”

Section: Introductionmentioning

confidence: 99%

Parallel and Distributed Optimization of Dynamic Data Structures for Multimedia Embedded Systems

Risco‐Martín

Atienza

Hidalgo

et al. 2010

Studies in Computational Intelligence

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Abstract.Energy-efficient design of multimedia embedded systems demands optimizations in both hardware and software. Software optimization has no received much attention, although modern multimedia applications exhibit high resource utilization. In order to efficiently run this kind of applications in embedded systems, the dynamic memory subsystem needs to be optimized. A key role in this optimization is played by the Dynamic Data Types (DDTs) that reside in every reallife application. It would be desirable to organize this set of DDTs to achieve the best performance in the target embedded system. This problem is NP-complete, and cannot be fully explored. In these cases the use of parallel processing can be very useful because it allows not only to explore more solutions spending the same time, but also to implement new algorithms. In this work, we propose a method that uses parallel processing and evolutionary computation to explore DDTs in the design of embedded applications. We propose a parallel Multi-Objective Evolutionary Algorithm (MOEA) which combines NSGA-II and SPEA2. We use Discrete Event Systems Specification (DEVS) to implement this parallel evolutionary algorithm over Service Oriented Architecture (SOA). Parallelism improves the solutions found by the corresponding sequential algorithms, and it allows system designers to reach better solutions than previous approximations.

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“…This set of solutions is known as the set of Pareto-optimal solutions and rely on the notion of Pareto-dominance [5] to treat simultaneously and independently each performance indicator.…”

Section: Introductionmentioning

confidence: 99%

“…Since 1990, a large number of MultiObjective Evolutionary Algorithms (MOEAs) has been proposed ( [5], [6], [7], [8], [9], [10]). The primary reason for this is their ability to find multiple Pareto-optimal solutions in one single simulation run.…”

Section: Introductionmentioning

confidence: 99%

Evolutionary Design of a Robotic Manipulator for a Highly Constrained Environment

Rubrecht

Singla

Padois

et al. 2011

New Horizons in Evolutionary Robotics

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Multiobjective Placement of Electronic Components Using Evolutionary Algorithms

Cited by 94 publications

References 9 publications

Imprecise knowledge based design and development of titanium alloys for prosthetic applications

Imprecise knowledge based design and development of titanium alloys for prosthetic applications

Parallel and Distributed Optimization of Dynamic Data Structures for Multimedia Embedded Systems

Evolutionary Design of a Robotic Manipulator for a Highly Constrained Environment

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