In this paper, we propose a new Pareto generic algorithm, called GISMOO, which hybridizes genetic algorithm and artificial immune systems.
In this paper, we propose a new Pareto generic algorithm, called GISMOO, which hybridizes genetic algorithm and artificial immune systems.
This paper shows that the GISMOO algorithm can also efficiently solve the multiobjective quadratic assignment problem (mQAP) and a performance comparison ...
GISMOO : a new hybrid genetic/immune strategy for multiple-objective optimization ; Computers & operations research : and their applications to problems of world ...
This approach, called GISMOO, has a small number of parameters to calibrate, is easy to implement, and has been shown to be efficient in solving classical ...
Solving Multiple-objective Optimization Problems using ...
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In this paper, we proposed a new Pareto generic algorithm which hybridizes genetic algorithm and artificial immune systems. Numerical experiments were made ...
A new Pareto generic algorithm which hybridizes genetic algorithm and artificial immune systems is proposed which is able to obtain better performance than ...
Sep 1, 2013 · A hybrid genetic/immune strategy to tackle the multiobjective quadratic assignment problem ... This content is only available as a PDF. Open the ...
Missing: GISMOO: | Show results with:GISMOO:
Zinflou et al. (2013) used genetic immune strategy (GISMOO) for the solution of mQAP. GISMOO is hybrid between GA and artificial immune system (AIS) to find the ...
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Feb 1, 2023 · We propose a novel hybrid multiobjective (MO) immune algorithm for tackling continuous MO problems. Similarly to the nondominated neighbor ...