Titlebook: Swarm Intelligence; 12th International C Marco Dorigo,Thomas Stützle,Volker Strobel Conference proceedings 2020 Springer Nature Switzerland

Inveterate

Grey Wolf, Firefly and Bat Algorithms: Three Widespread Algorithms that Do Not Contain Any Noveltyater using new natural metaphors. These three algorithms can therefore be added to the growing list of metaphor-based algorithms—to which already belong algorithms such as harmony search and intelligent water drops—that are nothing else than repetitions of old ideas hidden by the usage of new terminology.

Jacket

Branched Structure Formation in a Decentralized Flock of Wheeled Robotsamics based on “morphogenetic engineering” principles, in particular an algorithm of programmable network growth, and how it allows a flock of self-propelled wheeled robots on the ground to coordinate and function together. The model is implemented in simulation and demonstrated in physical experiments with the PsiSwarm platform.

Angiogenesis

Constrained Scheduling of Step-Controlled Buffering Energy Resources with Ant Colony Optimizationlevels), ants construct the feasible search graph on demand, thus avoiding exponential growth in this combinatorial problem. Applicability and competitiveness are demonstrated in several simulation studies using a model for a co-generation plant as typical small sized smart grid generation unit.

切碎

HuGoS: A Multi-user Virtual Environment for Studying Human–Human Swarm Intelligenceonment in simple examples for three of the experiment classes: human collective decision making, human social learning strategies, and agent-level human interaction with artificial swarms, including robot swarms.

inhumane

乳汁

A New Approach for Making Use of Negative Learning in Ant Colony Optimizatione quite useful. More specifically, our extended ant colony algorithm clearly outperforms the standard approach. Moreover, we were able to improve the current state-of-the-art results in 10 out of 36 cases.

capsule

Collective Decision Making in Swarm Robotics with Distributed Bayesian Hypothesis Testinge concluded that DBHT outperforms considered existing algorithms significantly in collective perception tasks with high difficulty, namely close proportion of features and clustered feature distribution.

补角

悬挂

圆桶