Multi sensor fusion using fitness adaptive differential evolution

Ritwik Giri, Arnob Ghosh, Aritra Chowdhury, Swagatam Das

Research output: Chapter in Book/Report/Conference proceedingConference contribution


The rising popularity of multi-source, multi-sensor networks supports real-life applications calls for an efficient and intelligent approach to information fusion. Traditional optimization techniques often fail to meet the demands. The evolutionary approach provides a valuable alternative due to its inherent parallel nature and its ability to deal with difficult problems. We present a new evolutionary approach based on a modified version of Differential Evolution (DE), called Fitness Adaptive Differential Evolution (FiADE). FiADE treats sensors in the network as distributed intelligent agents with various degrees of autonomy. Existing approaches based on intelligent agents cannot completely answer the question of how their agents could coordinate their decisions in a complex environment. The proposed approach is formulated to produce good result for the problems that are high-dimensional, highly nonlinear, and random. The proposed approach gives better result in case of optimal allocation of sensors. The performance of the proposed approach is compared with an evolutionary algorithm coordination generalized particle model (C-GPM).

Original languageEnglish (US)
Title of host publicationSwarm, Evolutionary, and Memetic Computing - First International Conference on Swarm, Evolutionary, and Memetic Computing, SEMCCO 2010, Proceedings
Number of pages9
StatePublished - 2010
Externally publishedYes
Event1st Swarm, Evolutionary and Memetic Computing Conference, SEMCCO 2010 - Chennai, India
Duration: Dec 16 2010Dec 18 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6466 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference1st Swarm, Evolutionary and Memetic Computing Conference, SEMCCO 2010

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science


  • Differential Evolution (DE)
  • Dynamic sensor resource allocation problem
  • Evolutionary algorithm
  • Multi-sensor fusion
  • Sensor behavior


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