Swarm Intelligence and Swarm Robotics in the Path Planning Problem

Diep, Quoc Bao; Truong, Thanh Cong; Zelinka, Ivan

doi:10.1007/978-3-030-76928-4_16

Cited by 1 publication

(4 citation statements)

References 11 publications

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“…Roughly speaking, chapters [3-6, 8, 10-12, 15, 18, 19] are mainly theoretical, although include a lot of meaningful examples. Chapters [1,2,7,9,13,14,20] are more problem-oriented and contain case studies.…”

Section: Introductionmentioning

confidence: 99%

“…When some probabilities (e.g., describing the dynamics of the process) are not precisely known, the Bayesian approach [9,12,14], Q-learning [3,4], optimal filtering [19], robust control [1,4,12], and H 2 control [5] can be useful. Let us also mention variational inequalities [11] and self-organizing algorithms [7]. Many authors suggested new effective numerical methods for tackling optimal control problems [3,4,6,7,10,12,13], especially arising from real-life case studies.…”

Section: Introductionmentioning

confidence: 99%

“…Let us also mention variational inequalities [11] and self-organizing algorithms [7]. Many authors suggested new effective numerical methods for tackling optimal control problems [3,4,6,7,10,12,13], especially arising from real-life case studies. Results of essential computer calculations and simulations are presented in [1, 3-5, 7, 9, 10, 13, 14, 18, 20].…”

Section: Introductionmentioning

confidence: 99%

“…• efficiency of allocating the same job(s) to several servers in queueing systems (survey) [2]; • forest management [3]; • control of moving objects [3,7]; • control of water resources [4];…”

Section: Introductionmentioning

confidence: 99%

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The Emergence, Complexity and Computation (ECC) series publishes new developments, advancements and selected topics in the fields of complexity, computation and emergence. The series focuses on all aspects of reality-based computation approaches from an interdisciplinary point of view especially from applied sciences, biology, physics, or chemistry. It presents new ideas and interdisciplinary insight on the mutual intersection of subareas of computation, complexity and emergence and its impact and limits to any computing based on physical limits (thermodynamic and quantum limits, Bremermann's limit, Seth Lloyd limits…) as well as algorithmic limits (Gödel's proof and its impact on calculation, algorithmic complexity, the Chaitin's Omega number and Kolmogorov complexity, non-traditional calculations like Turing machine process and its consequences,…) and limitations arising in artificial intelligence. The topics are (but not limited to) membrane computing, DNA computing, immune computing, quantum computing, swarm computing, analogic computing, chaos computing and computing on the edge of chaos, computational aspects of dynamics of complex systems (systems with self-organization, multiagent systems, cellular automata, artificial life,…), emergence of complex systems and its computational aspects, and agent based computation. The main aim of this series is to discuss the above mentioned topics from an interdisciplinary point of view and present new ideas coming from mutual intersection of classical as well as modern methods of computation. Within the scope of the series are monographs, lecture notes, selected contributions from specialized conferences and workshops, special contribution from international experts.

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