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891
Multiobjective evolutionary algorithms: a comparative case study and the strength pareto approach
- IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
, 1999
"... Evolutionary algorithms (EA’s) are often well-suited for optimization problems involving several, often conflicting objectives. Since 1985, various evolutionary approaches to multiobjective optimization have been developed that are capable of searching for multiple solutions concurrently in a singl ..."
Abstract
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Cited by 813 (22 self)
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Evolutionary algorithms (EA’s) are often well-suited for optimization problems involving several, often conflicting objectives. Since 1985, various evolutionary approaches to multiobjective optimization have been developed that are capable of searching for multiple solutions concurrently in a
Visualizing Data using t-SNE
, 2008
"... We present a new technique called “t-SNE” that visualizes high-dimensional data by giving each datapoint a location in a two or three-dimensional map. The technique is a variation of Stochastic Neighbor Embedding (Hinton and Roweis, 2002) that is much easier to optimize, and produces significantly b ..."
Abstract
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Cited by 280 (13 self)
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We present a new technique called “t-SNE” that visualizes high-dimensional data by giving each datapoint a location in a two or three-dimensional map. The technique is a variation of Stochastic Neighbor Embedding (Hinton and Roweis, 2002) that is much easier to optimize, and produces significantly
Software Watermarking: Models and Dynamic Embeddings
, 1999
"... Watermarking embeds a secret message into a cover message. In media watermarking the secret is usually a copyright notice and the cover a digital image. Watermarking an object discourages intellectual property theft, or when such theft has occurred, allows us to prove ownership. The Software Waterma ..."
Abstract
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Cited by 163 (21 self)
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Watermarking embeds a secret message into a cover message. In media watermarking the secret is usually a copyright notice and the cover a digital image. Watermarking an object discourages intellectual property theft, or when such theft has occurred, allows us to prove ownership. The Software
Emstar: a software environment for developing and deploying wireless sensor networks
- In Proceedings of the 2004 USENIX Technical Conference
, 2004
"... Recent work in wireless embedded networked systems has followed heterogeneous designs, incorporating a mixture of elements from extremely constrained 8- or 16-bit “Motes ” to less resourceconstrained 32-bit embedded “Microservers.” Emstar is a software environment for developing and deploying comple ..."
Abstract
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Cited by 194 (26 self)
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Recent work in wireless embedded networked systems has followed heterogeneous designs, incorporating a mixture of elements from extremely constrained 8- or 16-bit “Motes ” to less resourceconstrained 32-bit embedded “Microservers.” Emstar is a software environment for developing and deploying
Hardware-Software Co-Synthesis of Distributed Embedded System
, 1997
"... This article describes a new hardware-software cosynthesis algorithm that takes advantage of the structure inherent in an object-oriented specification. The algorithm creates a distributed system implementation with arbitrary topology, using the object-oriented structure to parti-tion functionality ..."
Abstract
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Cited by 88 (1 self)
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This article describes a new hardware-software cosynthesis algorithm that takes advantage of the structure inherent in an object-oriented specification. The algorithm creates a distributed system implementation with arbitrary topology, using the object-oriented structure to parti-tion functionality
MOGAC: A Multiobjective Genetic Algorithm for Hardware-Software Co-Synthesis of Distributed Embedded Systems
, 1998
"... In this paper, we present a hardware-software cosynthesis system, called MOGAC, that partitions and schedules embedded system specifications consisting of multiple periodic task graphs. MOGAC synthesizes real-time heterogeneous distributed architectures using an adaptive multiobjective genetic algor ..."
Abstract
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Cited by 110 (8 self)
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In this paper, we present a hardware-software cosynthesis system, called MOGAC, that partitions and schedules embedded system specifications consisting of multiple periodic task graphs. MOGAC synthesizes real-time heterogeneous distributed architectures using an adaptive multiobjective genetic
Static timing analysis of embedded software,” in
- Proc. Design Automation Conf.,
, 1997
"... Abstract This paper examines the problem of statically analyzing the performance of embedded software. This problem is motivated by the increasing growth of embedded systems and a lack of appropriate analysis tools. We study dierent performance metrics that need to be considered in this context and ..."
Abstract
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Cited by 52 (0 self)
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, analyze and optimize the gate component of the design must now b e e xtended to handle the embedded software component. This paper examines one such aspect for embedded software { techniques for statically analyzing the timing behavior (i.e., the performance) of embedded software. By static analysis, w e
Power Optimization and Management in Embedded Systems
"... Power-efficient design requires reducing power dissipation in all parts of the design and during all stages of the design process subject to constraints on the system performance and quality of service (QoS). Power-aware high-level language compilers, dynamic power management policies, memory manage ..."
Abstract
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Cited by 17 (0 self)
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Power-efficient design requires reducing power dissipation in all parts of the design and during all stages of the design process subject to constraints on the system performance and quality of service (QoS). Power-aware high-level language compilers, dynamic power management policies, memory
QoS-Optimized Integration of Embedded Software Components with Multiple Modes of Execution *
"... ..."
sequence alignment by genetic algorithm
- Nucleic Acids Res
, 1996
"... We describe a new approach to multiple sequence alignment using genetic algorithms and an associated software package called SAGA. The method involves evolving a population of alignments in a quasi evolutionary manner and gradually improving the fitness of the population as measured by an objective ..."
Abstract
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Cited by 124 (13 self)
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We describe a new approach to multiple sequence alignment using genetic algorithms and an associated software package called SAGA. The method involves evolving a population of alignments in a quasi evolutionary manner and gradually improving the fitness of the population as measured by an objective
Results 1 - 10
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891
