Results 71 to 80 of about 786,097 (340)
A survey on evolutionary ensemble learning algorithm
智能科学与技术学报, 2021 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
A Solution to the N-Queens Problem Using Biogeography-Based Optimization
International Journal of Interactive Multimedia and Artificial Intelligence, 2017 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
doaj +1 more source
Topological Synthesis of Tree Shaped Structures Based on a Building Blocks Hypothesis
Journal of Telecommunications and Information Technology, 2023 In this paper a new approach to evolutionary controlled creation of electronic circuit connection topology is proposed. Microwave circuits consisting of a tree like connection of ideal transmission lines are considered. Assuming that a reasonable number
Przemysław Miazga
doaj +1 more source
Evolutionary Algorithms for the Satisfiability Problem [PDF]
Evolutionary Computation, 2002 Several evolutionary algorithms have been proposed for the satisfiability problem. We review the solution representations suggested in literature and choose the most promising one the bit string representation for further evaluation. An empirical comparison on commonly used benchmarks is presented for the most successful evolutionary algorithms and ...
Jens Gottlieb +2 more
openaire +4 more sources
Molecular Oncology, EarlyView.This article advocates integrating temporal dynamics into cancer research. Rather than relying on static snapshots, researchers should increasingly consider adopting dynamic methods—such as live imaging, temporal omics, and liquid biopsies—to track how tumors evolve over time.
Gautier Follain +3 more
wiley +1 more source
MEAMVC: A Membrane Evolutionary Algorithm for Solving Minimum Vertex Cover Problem
IEEE Access, 2019 Since the membrane algorithm was proposed, it has been used for many optimization problems such as, traveling salesman problem, the knapsack problem, and so on. In membrane algorithms, the membranes have two functions: container and comparator.
Ping Guo, Changsheng Quan, Haizhu Chen
doaj +1 more source
Prospects for computational steering of evolutionary computation [PDF]
, 2002 Currently, evolutionary computation (EC) typically takes place in batch mode: algorithms are run autonomously, with the user providing little or no intervention or guidance. Although it is rarely possible to specify in advance, on the basis of EC theory,
Bullock, Seth +2 more
core +2 more sources
Emergence of Novelty in Evolutionary Algorithms
The 2022 Conference on Artificial Life, 2022 One of the main problems of evolutionary algorithms is the convergence of the population to local minima. In this paper, we explore techniques that can avoid this problem by encouraging a diverse behavior of the agents through a shared reward system.
Herel, David +3 more
openaire +2 more sources
Molecular Oncology, EarlyView.B‐cell chronic lymphocytic leukemia (B‐CLL) and monoclonal B‐cell lymphocytosis (MBL) show altered proteomes and phosphoproteomes, analyzed using mass spectrometry, protein microarrays, and western blotting. Identifying 2970 proteins and 316 phosphoproteins, including 55 novel phosphopeptides, we reveal BCR and NF‐kβ/STAT3 signaling in disease ...
Paula Díez +17 more
wiley +1 more source
Jurnal Teknik Industri, 2001 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
doaj