The pathway to intelligence: using stimuli‐responsive materials as building blocks for constructing smart and functional systems

X Zhang, L Chen, KH Lim, S Gonuguntla… - Advanced …, 2019 - Wiley Online Library
Abstract Systems that are intelligent have the ability to sense their surroundings, analyze,
and respond accordingly. In nature, many biological systems are considered intelligent (eg …

Control of quantum phenomena: past, present and future

C Brif, R Chakrabarti, H Rabitz - New Journal of Physics, 2010 - iopscience.iop.org
Quantum control is concerned with active manipulation of physical and chemical processes
on the atomic and molecular scale. This work presents a perspective of progress in the field …

A survey on evolutionary computation for complex continuous optimization

ZH Zhan, L Shi, KC Tan, J Zhang - Artificial Intelligence Review, 2022 - Springer
Complex continuous optimization problems widely exist nowadays due to the fast
development of the economy and society. Moreover, the technologies like Internet of things …

Decentralized autonomous organizations: Concept, model, and applications

S Wang, W Ding, J Li, Y Yuan… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Decentralized autonomy is a long-standing research topic in information sciences and social
sciences. The self-organization phenomenon in natural ecosystems, the Cyber Movement …

Enhancing learning efficiency of brain storm optimization via orthogonal learning design

L Ma, S Cheng, Y Shi - IEEE Transactions on Systems, Man …, 2020 - ieeexplore.ieee.org
In brain storm optimization (BSO), the convergent operation utilizes a clustering strategy to
group the population into multiple clusters, and the divergent operation uses this cluster …

A cargo-sorting DNA robot

AJ Thubagere, W Li, RF Johnson, Z Chen, S Doroudi… - Science, 2017 - science.org
INTRODUCTION Since the 1980s, the design and synthesis of molecular machines has
been identified as a grand challenge for molecular engineering. Robots are an important …

Research on path planning of mobile robot based on improved ant colony algorithm

Q Luo, H Wang, Y Zheng, J He - Neural Computing and Applications, 2020 - Springer
To solve the problems of local optimum, slow convergence speed and low search efficiency
in ant colony algorithm, an improved ant colony optimization algorithm is proposed. The …

Discrete spider monkey optimization for travelling salesman problem

MAH Akhand, SI Ayon, SA Shahriyar, N Siddique… - Applied Soft …, 2020 - Elsevier
Meta-heuristic algorithms inspired by biological species have become very popular in recent
years. Collective intelligence of various social insects such as ants, bees, wasps, termites …

Pigeon-inspired optimization: a new swarm intelligence optimizer for air robot path planning

H Duan, P Qiao - International journal of intelligent computing and …, 2014 - emerald.com
Purpose–The purpose of this paper is to present a novel swarm intelligence optimizer—
pigeon-inspired optimization (PIO)—and describe how this algorithm was applied to solve …

Ant colony optimization

M Dorigo, M Birattari, T Stutzle - IEEE computational …, 2007 - ieeexplore.ieee.org
Swarm intelligence is a relatively new approach to problem solving that takes inspiration
from the social behaviors of insects and of other animals. In particular, ants have inspired a …