Bioheuristics: theory, algorithms and applications
- Authors:
- Sergei I. Rodzin, Iurii A. Skobtsov, Samer A. El'-Khatib
- Work direction:
- Авторская монография
- Abstract:
- The book examines the current state and problems of bioheuristics development, biographical and memetic algorithms, the issues of finding optimal solutions by trajectory algorithms and bioheuristics of multicriteria optimization. Ant and swarm bioheuristics, their features and modifications are presented. Hybrid formic and hypeuruistic swarm segmentation algorithms of complexly structured images are considered as applications. The monograph is interdisciplinary, it is addressed to masters and graduate students studying the theory and practice of creating intelligent information systems and technologies, as well as specialists in the theoretical foundations of computer science, software engineering, system analysis, information management and processing, information systems and processes, bioinformatics.
- Keywords:
- experiment, modeling, optimization, machine learning, bioheuristics, drift analysis, ant system, particle swarm, image segmentation, fitness function, evolutionary computation, NFL theorem
Bioheuristics: theory, algorithms and applications