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Since genetic algorithm was proposed by John Holland (Holland J. H., 1975) inthe early 1970s, the study of evolutionary algorithm has emerged as a popularresearch field (Civicioglu & Besdok, 2013). Researchers from various scientificand engineering disciplines have been digging into this field, exploring theunique power of evolutionary algorithms (Hadka & Reed, 2013). Many applicationshave been successfully proposed in the past twenty years. For example,mechanical design (Lampinen & Zelinka, 1999), electromagnetic optimization(Rahmat-Samii & Michielssen, 1999), environmental protection (Bertini, Felice,Moretti, & Pizzuti, 2010), finance (Larkin & Ryan, 2010), musical orchestration(Esling, Carpentier, & Agon, 2010), pipe routing (Furuholmen, Glette, Hovin, &Torresen, 2010), and nuclear reactor core design (Sacco, Henderson,Rios-Coelho, Ali, & Pereira, 2009). In particular, its function optimizationcapability was highlighted (Goldberg & Richardson, 1987) because of its highadaptability to different function landscapes, to which we cannot applytraditional optimization techniques (Wong, Leung, & Wong, 2009). Here we reviewthe applications of evolutionary algorithms in bioinformatics.

Evolutionary Algorithms: Concepts, Designs, and Applications in Bioinformatics: Evolutionary Algorithms for Bioinformatics