Titlebook: Recent Advances in Computational Optimization; Results of the Works Stefka Fidanova Book 2022 The Editor(s) (if applicable) and The Author(

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Learning to Optimize, and optimization in complex cyber-physical systems demand for decentralized and self-organizing algorithms to cope with problem size and distributed information availability. Self-organization often relies on emergent behavior. Local observations and decisions aggregate to some global behavior with

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,Optimal Seating Assignment in the COVID-19 Era via Quantum Computing, problems currently considered to be intractable. This new research area is called Quantum Computing. What makes Quantum Computing so attractive is the particular way with which quantum technology operates and the great potential it can offer to solve real-world problems. This work focuses on solvin

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,Hybrid Ant Colony Optimization Algorithms—Behaviour Investigation Based on Intuitionistic Fuzzy Logcal optimums and to find faster the global one. The theory of intuitionistic fuzzy logic, which is the basis of InterCriteria analysis (ICrA), is used to study the proposed hybrid algorithms for ant colony optimization (ACO). Different algorithms for ICrA implementation are applied on the results ob

JEER

Scheduling Algorithms for Single Machine Problem with Release and Delivery Times,Each job has a release time, processing time and a delivery time. The objective is to minimize the time, by which all jobs are delivered. This problem is denoted by . has many applications, and it is NP-hard in strong sense. The problem is useful in solving flowshop and jobshop scheduling problems.

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,Monitoring a Fleet of Autonomous Vehicles Through A* Like Algorithms and Reinforcement Learning,sed to be ruled by a hierarchical supervision architecture, which, at the top level distributes and schedules Pick up and Delivery tasks, and, at the lowest level, ensures safety at the crossroads and controls the trajectories. We focus here on the top level, while introducing a time dependent estim

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,Using Temporal Dummy Players in Cost-Sharing Games,uilibrium profile may be significantly higher than the social optimum. We compare and analyze several methods to lead the players to a good Nash Equilibrium by temporal addition of dummy players. The dummy players create artificial load on some resources, that encourage other players to change their

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