#heuristic-algorithm

The Traveling Salesman Problem in Global Logistics: Algorithmic Architectures of Amazon and FedEx

Author : Shashank Singh

The Invisible Shield: Tracing the Evolution of Antivirus Protection in the Age of AWS-Powered…

Introduction :

Veteran Coder “Psyho” Edges Out OpenAI’s Elite AI in Tokyo Showdown

Human Genius Prevails (For Now!)

Heuristic and Meta-heuristic Algorithms

This is a fascinating area of computer science and optimization that deals with finding “good enough” solutions to problems that are too…

Greedy Search vs. Beam Search

Makine öğrenimi ve doğal dil işleme (NLP) dünyasında, en iyi sonucu bulmak için farklı arama algoritmaları kullanılır. Özellikle Greedy…

The Neighbourhood Structure of A Local Search Heuristic Algorithm

Definition, examples, and some important points

What Is The Search Space of A Local Search Algorithm?

Definition, examples, and some important points

Towards Sustainable Cloud Computing: Optimization of Algorithms

Introduction: In recent years, the proliferation of cloud computing services has revolutionized the way organizations manage and utilize…

SEZGİSEL ALGORİTMALAR (HEURİSTİC ALGORITHMS)

Bilgisayar bilimlerinde, sezgisel ya da buluşsal (heuristic) bir problem çözme taktiğidir. İyi bir sonuç vermesi önemsizdir fakat genel…

Python — 螢火蟲演算法(Firefly Algorithm, FA)求解最佳化問題

螢火蟲演算法(Firefly Algorithm, FA)是由劍橋大學的楊新社教授提出的群體智能演算法。靈感主要來源自螢火蟲的閃爍行為，並將閃光做為一信號系統，以吸引其他螢火蟲。

Python — 基因演算法(Genetic Algorithm, GA)求解最佳化問題

基因演算法是一種優化演算法，主要依據達爾文“進化論”中所提出的「物競天擇，適者生存，不適者淘汰」的生物演化法則而來，其核心觀念為模擬基因的優勝劣汰，以進行最佳化的計算。

Python — 模擬退火演算法(Simulated Annealing, SA)求解旅行推銷員問題(Traveling Salesman Problem, TSP)

模擬退火演算法（Simulated Annealing, SA）是S.Kirkpatrick, C. D…

Python — 人工蜂群演算法(Artificial Bee Colony, ABC)求解旅行推銷員問題(Traveling Salesman Problem, TSP)

人工蜂群演算法（Artificial Bee Colony, ABC）是由 Karaboga於2005年提出的全局優化演算法，主要來源自蜂群採蜜的行為，是屬於群體智能算法的其中一種。

Python — 人工蜂群演算法(Artificial Bee Colony, ABC)求解最佳化問題