Results 1 to 10 of about 3,379,728 (314)
Epigenetic opportunities for evolutionary computation [PDF]
Royal Society Open Science, 2023 Evolutionary computation is a group of biologically inspired algorithms used to solve complex optimization problems. It can be split into evolutionary algorithms, which take inspiration from genetic inheritance, and swarm intelligence algorithms, that ...
Sizhe Yuen +2 more
doaj +2 more sources
Evolutionary Computation for Expensive Optimization: A Survey [PDF]
Machine Intelligence Research, 2022 Expensive optimization problem (EOP) widely exists in various significant real-world applications. However, EOP requires expensive or even unaffordable costs for evaluating candidate solutions, which is expensive for the algorithm to find a satisfactory ...
Li J, Zhan Z, Zhang J.
europepmc +2 more sources
Egret Swarm Optimization Algorithm: An Evolutionary Computation Approach for Model Free Optimization. [PDF]
Biomimetics (Basel), 2022 A novel meta-heuristic algorithm named Egret Swarm Optimization Algorithm (ESOA) is proposed in this paper, which is inspired by two egret species’ hunting behavior (Great Egret and Snowy Egret).
Chen Z +8 more
europepmc +3 more sources
Creative AI Through Evolutionary Computation: Principles and Examples. [PDF]
SN Comput Sci, 2021 The main power of artificial intelligence is not in modeling what we already know, but in creating solutions that are new. Such solutions exist in extremely large, high-dimensional, and complex search spaces.
Miikkulainen R.
europepmc +3 more sources
A survey on evolutionary computation for complex continuous optimization [PDF]
Artificial Intelligence Review, 2021 Complex continuous optimization problems widely exist nowadays due to the fast development of the economy and society. Moreover, the technologies like Internet of things, cloud computing, and big data also make optimization problems with more challenges ...
Zhi‐Hui Zhan +3 more
openalex +2 more sources
Using Evolutionary Computation on GPS Position Correction [PDF]
The Scientific World Journal, 2014 More and more devices are equipped with global positioning system (GPS). However, those handheld devices with consumer-grade GPS receivers usually have low accuracy in positioning. A position correction algorithm is therefore useful in this case. In this
Jung Yi Lin
doaj +2 more sources
A Survey on Evolutionary Computation Approaches to Feature Selection
IEEE Transactions on Evolutionary Computation, 2015 Feature selection is an important task in data mining and machine learning to reduce the dimensionality of the data and increase the performance of an algorithm, such as a classification algorithm.
Bing Xue +3 more
openalex +2 more sources
Discriminative biomarker selection using hybrid multi-population evolutionary computation [PDF]
Scientific ReportsThe rapid advancement of Deoxyribonucleic acid (DNA) sequencing technology has gained more attention, especially in interpreting high-dimensional, low-sample-size microarray data for disease identification. However, conventional gene selection techniques
Alok Kumar Shukla +2 more
doaj +2 more sources
Quality Diversity: A New Frontier for Evolutionary Computation
Frontiers in Robotics and AI, 2016 While evolutionary computation and evolutionary robotics take inspiration from nature, they have long focused mainly on problems of performance optimization.
Justin K Pugh +2 more
doaj +2 more sources
EvoTorch: Scalable Evolutionary Computation in Python [PDF]
arXiv.org, 2023 Evolutionary computation is an important component within various fields such as artificial intelligence research, reinforcement learning, robotics, industrial automation and/or optimization, engineering design, etc.
N. E. Toklu +4 more
semanticscholar +1 more source