Results 51 to 60 of about 28,161 (297)
, 2023 This chapter provides preliminaries and essential definitions in optimization, meta-heuristics, and swarm intelligence. It starts with different components of optimization problems, formulations, and categories.
Kalayci C.B. +5 more
core +1 more source
IEEE Access, 2019 Network performance optimization has always been one of the important research subjects in mobile wireless sensor networks. With the expansion of the application field of MWSNs and the complexity of the working environment, traditional network ...
Li Cao, Yong Cai, Yinggao Yue
doaj +1 more source
Journal of Intelligent Systems, 2020 Cloud computing deals with voluminous heterogeneous data, and there is a need to effectively distribute the load across clusters of nodes to achieve optimal performance in terms of resource usage, throughput, response time, reliability, fault tolerance ...
Bhargavi K, Sathish Babu B, Pitt Jeremy
doaj +1 more source
Convergence Analysis and Performance Comparison of Cuckoo Search Algorithm
Jisuanji kexue yu tansuo, 2020 Swarm intelligence algorithm is an emerging optimization method, which connects simple individuals through teamwork and organization to generate swarm intelligence and is used to solve practical problems.
LIU Xiaodong, SUN Lijun, CHEN Tianfei
doaj +1 more source
FEBS Open Bio, EarlyView.Pharmacological inhibition of PERK in a DEN‐induced mouse model of liver cancer does not reduce tumor burden but alters cellular stress signaling. Despite blocking PERK activity, downstream stress responses, including CHOP expression, remain active, suggesting compensatory mechanisms within the unfolded protein response that may influence tumor ...
Ada Lerma‐Clavero +5 more
wiley +1 more source
Usage of Swarm Intelligence Algorithms in Wireless Sensor Networks
, 2023 Wireless Sensor Networks (WSNs) consist of small sensors that collect data and communicate wirelessly to form a network. However, WSNs face challenges such as limited resources and harsh environments, making traditional centralized approaches to network ...
Nsubuga, Joseph
core
Simulation Study of Swarm Intelligence Based on Life Evolution Behavior
Discrete Dynamics in Nature and Society, 2015 Swarm intelligence (SI) is a new evolutionary computation technology, and its performance efficacy is usually affected by each individual behavior in the swarm.
Yanmin Liu +5 more
doaj +1 more source
Directed evolution of enzymes at the crossroads of tradition and innovation
FEBS Open Bio, EarlyView.An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova +2 more
wiley +1 more source
Creative or Not? Birds and Ants Draw with Muscle [PDF]
, 2011 In this work, a novel approach of merging two swarm intelligence algorithms is considered – one mimicking the behaviour of ants foraging (Stochastic Diffusion Search [5]) and the other algorithm simulating the behaviour of birds flocking (Particle Swarm ...
Bishop, Mark +3 more
core
Localization and tracking of multiple quadrotors with collision avoidance: Theory and experiment
Defence TechnologyMultiple quadrotors target encirclement is widely used in the intelligent field, as it can effectively monitor and control target behavior. However, it faces the danger of collision, as well as difficulties in localization and tracking.
Guang Yang +6 more
doaj +1 more source