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Based on the ergodicity of chaotic searching, the efficiency of quantum computing and antibody clonal selection theory of Artificial Immune System (AIS), Chaos Quantum Clonal Multiobjective Evolutionary Algorithm (CQCMEA) is proposed in this paper. The algorithm encodes the initial population by qubit, updates individual by quantum rotated gates with chaotic variables and maintains the distribution...
In contrast to the numerous research works that integrate a niching scheme with an existing single-objective evolutionary algorithm to perform multimodal optimization, a few approaches have recently been taken to recast multimodal optimization as a multiobjective optimization problem to be solved by modified multiobjective evolutionary algorithms. Following this promising avenue of research, we propose...
This paper proposes the use of a parallel multi-core team to exploit the characteristics of several algorithms, when solving one of the best known biological problems, the Motif Discovery Problem (MDP). Often, when we solve an optimization problem, we have to tackle very different scenarios. This complicates finding a single technique or algorithm that will be able to solve all of them adequately...
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