BookDOI
Application of evolutionary algorithms for multi-objective optimization in VLSI and embedded systems
TLDR
This paper discusses hardware/Software Partitioning for Embedded Systems, Design Space Exploration for Scheduling and Allocation in High Level Synthesis of Datapaths, and Flow from Algorithm to RTL using Evolutionary Exploration Approach.Abstract:
Introduction to Multi-Objective Evolutionary Algorithms.- Hardware/Software Partitioning for Embedded Systems.- Circuit Partitioning for VLSI Layout.- Design of Operational Amplifier.- Design Space Exploration for Scheduling and Allocation in High Level Synthesis of Datapaths.- Design Space Exploration of Datapath (Architecture) in High Level Synthesis for Computation Intensive Applications.- Design Flow from Algorithm to RTL using Evolutionary Exploration Approach.- Crosstalk Delay Fault Test Generation.- Scheduling in Heterogeneous Distributed Systems.read more
Citations
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Journal ArticleDOI
Application of multi-objective genetic algorithms to interior lighting optimization
Evangelos-Nikolaos D. Madias,Panagiotis A. Kontaxis,Panagiotis A. Kontaxis,Frangiskos V. Topalis +3 more
TL;DR: In this paper, a multi-objective optimization model for artificial lighting control is proposed to minimize energy consumption and the same time maximize uniformity of lighting while maintaining the illuminance at an appropriate level.
Proceedings ArticleDOI
On the Scalable Multi-Objective Multi-Agent Pathfinding Problem
TL;DR: The MOMAPF problem is designed to be a scalable test problem for multi-objective optimisation algorithms, where it can scale up the variable space to reflect different real-world scenarios.
Journal ArticleDOI
Design of optimal CMOS ring oscillator using an intelligent optimization tool
TL;DR: MOMIPO outperforms the best performance among other multi-objective algorithms in presented RO designing tool and creates a perfect trade-off between the contradictory objective functions in CMOS RO optimal design.
Journal ArticleDOI
An Optimal SVM with Feature Selection Using Multiobjective PSO
TL;DR: The MOPSO algorithm is got to optimize the parameters of the SVM, choose appropriate kernel function and select the best features simultaneously in order to optimized the Recognition Score and the Reliability of theSVM.
Journal ArticleDOI
ElaClo : A Framework for Optimizing Software Application Topology in the Cloud Environment
TL;DR: ElaClo is introduced, a framework for optimizing application topologies in a cloud environment that provides workload generation, monitoring, topology management, elasticity mechanisms, and algorithms to support the optimization process and demonstrates the effectiveness of the suggested framework in yielding optimal topologies.