Results 71 to 80 of about 6,017,267 (341)
A survey on evolutionary ensemble learning algorithm
Evolutionary ensemble learning integrates advantages of ensemble learning and evolutionary algorithm and is widely used in machine learning, data mining, and pattern recognition.Firstly, the theoretical basis, formation, and taxonomy are introduced ...
Yi HU +4 more
doaj
Particle Swarm Optimization with Independent Adaptive Parameter Adjustment
Aiming at the problems that traditional particle swarm optimization (PSO) algorithm is prone to fall into local optimum and depends on the value of parameters when solving complex optimization problems, an independent adaptive parameter adjustment ...
ZHANG Qiwen, WEI Yachen
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Comparative Studies on Decentralized Multiloop PID Controller Design Using Evolutionary Algorithms
Decentralized PID controllers have been designed in this paper for simultaneous tracking of individual process variables in multivariable systems under step reference input.
Das, Saptarshi +4 more
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Time Complexity Analysis of an Evolutionary Algorithm for approximating\n Nash Equilibriums [PDF]
Aadesh Salecha
openalex +1 more source
A New Dominance Relation-Based Evolutionary Algorithm for Many-Objective Optimization
Many-objective optimization has posed a great challenge to the classical Pareto dominance-based multiobjective evolutionary algorithms (MOEAs). In this paper, an evolutionary algorithm based on a new dominance relation is proposed for many-objective ...
Yuan Yuan, Hua Xu, Bo D. Wang, X. Yao
semanticscholar +1 more source
Under environmental changes, the expression level of neuropeptide (NP) and neuropeptide receptor (NPR) genes changes to confer context‐dependent adaptation to the model organism Drosophila melanogaster. Through finding more regulatory elements in the NPR genes in comparison with their ligands (NPs), we found that NPR‐biased transcriptional regulation ...
SeungHeui Ryu +6 more
wiley +1 more source
This research gives an alternative to build production schedule using Evolutionary Algorithm. The objective function is minimizing production makespan. Shortest Processing Time (SPT) and Longest Processing Time (LPT) methods are used as initial solution.
Lala Febriana, I Gede Agus Widyadana
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An Adaptive Quantum-inspired Differential Evolution Algorithm for 0-1 Knapsack Problem
Differential evolution (DE) is a population based evolutionary algorithm widely used for solving multidimensional global optimization problems over continuous spaces. However, the design of its operators makes it unsuitable for many real-life constrained
Hota, Ashish Ranjan, Pat, Ankit
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Structural and functional characterization of chitinase from carnivorous plant Drosera adelae
A class I chitinase from the carnivorous plant Drosera adelae was expressed and purified using a yeast system, revealing high enzymatic activity. Structural analyses of the catalytic and chitin‐binding domains identified key tyrosine residues involved in substrate binding, offering insights into the enzyme's adaptation for insect digestion.
Kazunari Yoneda +7 more
wiley +1 more source
A Solution to the N-Queens Problem Using Biogeography-Based Optimization
Biogeography-based Optimization (BBO) is a global optimization algorithm based on population, governed by mathematics of biogeography, and dealing with geographical distribution of biological organisms.
Ali Habiboghli, Tayebeh Jalali
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