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22 results

Thornton Tomasetti | CORE studio
AECtech 2025 | Tunny

AECtech | 2025 Annual Conference Tunny Virtual Workshop https://tunny.hrntsm.com/ Design Space Exploration and ...

2:32:29
AECtech 2025 | Tunny

320 views

2 weeks ago

VERILOG COURSE TEAM-ELECTRICAL PROJECTS
SUSTAINABLE ENERGY MANAGEMENT-DIFFERENTIAL EVOLUTION ALGORITHM-COMBINED ECONOMIC EMISSION DISPATCH

DESIGN DETAILS Modern power systems are witnessing a sharp rise in energy demand, accelerated depletion of conventional ...

2:30
SUSTAINABLE ENERGY MANAGEMENT-DIFFERENTIAL EVOLUTION ALGORITHM-COMBINED ECONOMIC EMISSION DISPATCH

18 views

2 weeks ago

Lim Xun Yi
20251126 Heuristics Techniques (Meta Heuristics)
1:24:17
20251126 Heuristics Techniques (Meta Heuristics)

0 views

1 month ago

Dabex Plays
lecture 10 genetic algorithm720p
1:36:13
lecture 10 genetic algorithm720p

0 views

1 month ago

INI Seminar Room 1
Multiple Speakers | Nature-inspired meta-heuristic algorithms for generating optimal... designs

Title: Nature-inspired meta-heuristic algorithms for generating optimal experimental designs Speakers: Date: 8th Jul 2015 - 10:20 ...

45:45
Multiple Speakers | Nature-inspired meta-heuristic algorithms for generating optimal... designs

0 views

10 days ago

FLEXIndustries
Webinar 5: Optimization and Forecasting for Industrial Flexibility

The fifth session in our 7-part webinar series was titled "Optimization and Forecasting for Industrial Flexibility: from Algorithms to ...

52:29
Webinar 5: Optimization and Forecasting for Industrial Flexibility

7 views

3 weeks ago

Max Patacchiola
From Darwin to Evolutionary Algorithms

From a seasick young naturalist on the HMS Beagle to algorithms that evolve code and neural networks inside a computer.

22:05
From Darwin to Evolutionary Algorithms

89 views

3 weeks ago

NIC - 5C
Grey wolf optimization by 1BM23AI149 and 1BM23AI188
16:51
Grey wolf optimization by 1BM23AI149 and 1BM23AI188

0 views

3 weeks ago

Mfg System Optimization
Basic Metaheuristics: Part 1 Intro to Metaheuristics
22:56
Basic Metaheuristics: Part 1 Intro to Metaheuristics

34 views

2 days ago

Engineering Academy الاكاديمية الهندسية الشاملة
EE 556   06  EC and GA
1:17:07
EE 556 06 EC and GA

0 views

7 days ago

Engineering Academy الاكاديمية الهندسية الشاملة
EE 556   14  DE and PSO
1:22:40
EE 556 14 DE and PSO

0 views

7 days ago

Mark Iwen
1W-MINDS, Dec. 4:  Minxin Zhang (UCLA), Structure-Aware Adaptive Nonconvex Optimization for Deep...

Structure-Aware Adaptive Nonconvex Optimization for Deep Learning and Scientific Computing Modern machine learning and ...

48:09
1W-MINDS, Dec. 4: Minxin Zhang (UCLA), Structure-Aware Adaptive Nonconvex Optimization for Deep...

54 views

3 weeks ago

Engineering Academy الاكاديمية الهندسية الشاملة
EE 556   03  Basics of Optimization
1:22:26
EE 556 03 Basics of Optimization

0 views

7 days ago

Bias Lab
FORGENOMII: A journey into mathematical modelling for the plasmid binning problem on assembly graphs

Webinar 3 2025 FORGENOM II project. Dr. Victor Epain https://vepain.gitlab.io Abstract: Plasmids are short extra-chromosomal ...

58:47
FORGENOMII: A journey into mathematical modelling for the plasmid binning problem on assembly graphs

15 views

1 month ago

Fran Blanche
De-Algorithmed ©™

Copyright! Trademark! Did we all get shrinkified because we didn't pony up bucks to Big Boss Google? You tell me.... YouTube is ...

10:35
De-Algorithmed ©™

23,270 views

4 weeks ago

vlogommentary
How to Use Scipy's differential_evolution Efficiently Inside Classes Without Pickling Issues

Learn how to optimize computation time when using Scipy's differential_evolution in class methods by making your objective ...

4:02
How to Use Scipy's differential_evolution Efficiently Inside Classes Without Pickling Issues

0 views

2 days ago

Engineering Academy الاكاديمية الهندسية الشاملة
EE 556   12  Matlab tutorial and EP
1:32:11
EE 556 12 Matlab tutorial and EP

0 views

7 days ago

International Centre for Mathematical Sciences
HGDL and gpCAM: Hybrid Local-Global and Modern Bayesian Optimization for Function Approximation

HGDL and gpCAM: Hybrid Local-Global and Modern Bayesian Optimization for Function Approximation, Uncertainty ...

56:27
HGDL and gpCAM: Hybrid Local-Global and Modern Bayesian Optimization for Function Approximation

0 views

9 days ago

Altium Academy
Inside Simberian's AI-Driven Design Automation

Dive into the cutting-edge world of AI-powered signal integrity design with Yuriy Shlepnev, founder of Simberian. In this exclusive ...

58:44
Inside Simberian's AI-Driven Design Automation

513 views

2 weeks ago

理工学图
自然计算算法 | 仿生优化算法 | 遗传算法 | 蚁群算法 | 粒子群算法 | 差分进化 | 模拟退火 | 自然启发计算 | 群体智能 | 元启发式算法 | 智能优化 | 参数调优 | 机器学习

自然计算算法Stemost(理工学图: http://stemost.com )致力于为理工科学习提供创新解决方案。我们的平台采用独特的“知识地图”学习 ...

7:21
自然计算算法 | 仿生优化算法 | 遗传算法 | 蚁群算法 | 粒子群算法 | 差分进化 | 模拟退火 | 自然启发计算 | 群体智能 | 元启发式算法 | 智能优化 | 参数调优 | 机器学习

0 views

3 weeks ago

理工学图
进化算法 | 遗传算法 | 进化计算 | 粒子群优化 | 差分进化 | 智能优化 | 自然启发算法 | 参数优化 | 组合优化 | 全局优化 | Python实现 | 机器学习 | 计算智能 |仿生学

进化算法Stemost(理工学图: http://stemost.com )致力于为理工科学习提供创新解决方案。我们的平台采用独特的“知识地图”学习模式 ...

7:06
进化算法 | 遗传算法 | 进化计算 | 粒子群优化 | 差分进化 | 智能优化 | 自然启发算法 | 参数优化 | 组合优化 | 全局优化 | Python实现 | 机器学习 | 计算智能 |仿生学

0 views

3 weeks ago

StudyBeLike
Stochastic Processes Explained | Concepts, Types & Real-World Applications

Stochastic processes help us model and understand systems that evolve over time under uncertainty. In this video, we explain ...

12:43
Stochastic Processes Explained | Concepts, Types & Real-World Applications

2 views

5 days ago