genetic algorithm

Beijing SF i-TECH City Technology Team

Apr 8, 2025 · Artificial Intelligence

Automatic Algorithm Design for Operations Optimization Using Large Language Models and Evolutionary Techniques

This document outlines how large language models can be combined with evolutionary algorithms such as genetic algorithms to automatically generate, evaluate, and iteratively improve operations‑optimization code for logistics, resource allocation, and staffing scenarios, reducing development cycles, enhancing adaptability, and achieving higher solution quality.

AI optimizationLarge Modelsautomated-code-generation

0 likes · 21 min read

Automatic Algorithm Design for Operations Optimization Using Large Language Models and Evolutionary Techniques

IT Services Circle

Mar 14, 2025 · Product Management

From a Wedding Seating Problem to a Successful SaaS: The PerfectTablePlan Story

The article recounts how Andy turned a challenging wedding seating arrangement into the PerfectTablePlan software, detailing its development with C++/Qt, use of genetic algorithms and quantum computing, rapid market adoption, extensive marketing tactics, and the eventual creation of a sustainable one‑person business.

C++genetic algorithmproduct management

0 likes · 9 min read

From a Wedding Seating Problem to a Successful SaaS: The PerfectTablePlan Story

DaTaobao Tech

Aug 16, 2023 · Artificial Intelligence

Traditional Machine Learning for Allocation Planning in Supply Chains

The article presents a practical supply‑chain allocation‑planning case where a classic machine‑learning optimization model determines product transfers between over‑stocked and under‑stocked warehouses under capacity and demand constraints, using heuristics such as genetic algorithms and highlighting the continued relevance of traditional methods alongside deep‑learning approaches.

allocation optimizationgenetic algorithmheuristic algorithms

0 likes · 11 min read

Traditional Machine Learning for Allocation Planning in Supply Chains

Model Perspective

Feb 28, 2023 · Artificial Intelligence

Master Simulated Annealing, Genetic Algorithm, and PSO with Python

Explore three powerful optimization techniques—Simulated Annealing, Genetic Algorithm, and Particle Swarm Optimization—through clear explanations, step-by-step procedures, and complete Python implementations that demonstrate how to find global minima of complex functions in practice and compare their performance.

OptimizationPythongenetic algorithm

0 likes · 14 min read

Master Simulated Annealing, Genetic Algorithm, and PSO with Python

Tencent Cloud Developer

Nov 18, 2022 · Databases

How CDW PG Optimizer Finds Optimal Join Order for Multi-Table Queries

CDW PG’s optimizer determines the most efficient join order for multi‑table OLAP queries by combining bottom‑up dynamic programming for smaller joins with a genetic algorithm for larger ones, while jointly selecting scan paths, join algorithms, and data‑distribution strategies to minimize execution cost.

CDW PGDistributed DatabaseJoin Optimization

0 likes · 9 min read

How CDW PG Optimizer Finds Optimal Join Order for Multi-Table Queries

Model Perspective

Nov 7, 2022 · Artificial Intelligence

How Genetic Algorithms Mimic Evolution to Solve Complex Optimization Problems

This article introduces genetic algorithms, explains their biological inspiration, outlines key concepts and operators, details the step-by-step optimization process, and demonstrates their application to a traveling‑salesman case with Python code, highlighting encoding, selection, crossover, mutation, and fitness evaluation.

OptimizationPythonevolutionary computation

0 likes · 14 min read

How Genetic Algorithms Mimic Evolution to Solve Complex Optimization Problems

NetEase LeiHuo Testing Center

Nov 4, 2022 · Artificial Intelligence

Applying AI for Game Balance Testing: DNN Victory Prediction and Genetic Algorithm Optimization

This article details a practical AI-driven workflow for a turn‑based card game, covering problem background, data modeling with a DNN victory‑prediction network, reinforcement‑learning‑based data generation, and a genetic‑algorithm search to identify the strongest and weakest team compositions.

AIDNNgame balance

0 likes · 18 min read

Applying AI for Game Balance Testing: DNN Victory Prediction and Genetic Algorithm Optimization

DeWu Technology

Oct 26, 2022 · Operations

Optimization of Packaging Box Design Using Linear and Genetic Algorithms

By formulating the Aurora Blue box design as an integer programming problem and applying both exact linear methods and a tailored genetic algorithm, the study identified an eight‑to‑fifteen‑type solution that raises packing efficiency by 5.49%, cuts paper use 7.6% and trims shipping cost by 0.06 CNY.

Linear ProgrammingOptimizationgenetic algorithm

0 likes · 13 min read

Optimization of Packaging Box Design Using Linear and Genetic Algorithms

Python Programming Learning Circle

Oct 25, 2022 · Artificial Intelligence

Genetic Algorithms: Theory, Steps, and Practical Implementation with TPOT for Data Science

This article introduces genetic algorithms, explains their biological inspiration, details each step of the algorithm, demonstrates solving the knapsack problem, and provides a complete Python implementation using the TPOT library for feature selection and regression on the Big Mart Sales dataset.

OptimizationPythonTPOT

0 likes · 19 min read

Genetic Algorithms: Theory, Steps, and Practical Implementation with TPOT for Data Science

Model Perspective

Oct 2, 2022 · Artificial Intelligence

Modeling Human Growth with Heuristic Algorithms: Simulated Annealing, GA, PSO

When multivariate functions are hard to solve analytically, heuristic methods such as simulated annealing, genetic algorithms, particle swarm and bee algorithms—drawn from physical and biological processes—can approximate optimal solutions and even simulate complex phenomena like a student’s multidimensional development over time.

Optimizationgenetic algorithmheuristic algorithms

0 likes · 3 min read

Modeling Human Growth with Heuristic Algorithms: Simulated Annealing, GA, PSO

Model Perspective

Aug 29, 2022 · Artificial Intelligence

Solving the Rastrigin Function with a Genetic Algorithm in Python

This article introduces the multimodal Rastrigin function, explains its challenges for optimization, and demonstrates a complete Python implementation of a genetic algorithm—including encoding, selection, crossover, mutation, and decoding—to locate the function’s global minimum, with visual results and performance analysis.

BenchmarkOptimizationPython

0 likes · 6 min read

Solving the Rastrigin Function with a Genetic Algorithm in Python

Model Perspective

Aug 23, 2022 · Artificial Intelligence

Quick-Start Guide to Solving Optimization Problems with Geatpy’s Genetic Algorithm

This tutorial walks you through a quick-start example using Geatpy’s solver mode, showing how to define a problem, set up a genetic algorithm with mixed integer encoding, compute objective and constraint values, and execute the optimization to obtain optimal decision variables.

OptimizationPythonevolutionary computation

0 likes · 9 min read

Quick-Start Guide to Solving Optimization Problems with Geatpy’s Genetic Algorithm

Model Perspective

Jul 27, 2022 · Artificial Intelligence

How Genetic Algorithms Solve Complex Problems: A Deep Dive into Intelligent Optimization

Genetic algorithms, a key intelligent optimization technique, mimic natural selection through selection, crossover, and mutation to explore solution spaces globally, offering robust, parallelizable methods for finding optimal or near‑optimal solutions across diverse problems, with detailed mechanisms, parameters, and practical considerations explained.

crossoverevolutionary computationgenetic algorithm

0 likes · 12 min read

How Genetic Algorithms Solve Complex Problems: A Deep Dive into Intelligent Optimization

Model Perspective

Jul 16, 2022 · Artificial Intelligence

How Genetic Algorithms Mimic Evolution to Solve Complex Optimization Problems

This article introduces genetic algorithms, explains their biological foundations and key concepts, outlines the standard optimization steps, and demonstrates their application to a traveling‑salesman case with Python code, covering encoding, selection, crossover, mutation, and parameter settings.

Artificial IntelligenceOptimizationPython

0 likes · 14 min read

Youku Technology

Jun 15, 2020 · Artificial Intelligence

Multi-Objective Optimization for Guaranteed Delivery in Video Service Platforms

The paper proposes a two‑stage framework that first fits a differential‑equation‑based exposure‑click (P2C) model for each new video and then uses a genetic‑algorithm multi‑objective optimization to allocate scarce scene‑level exposure slots, simultaneously maximizing total views and halving CTR variance while outperforming manual baselines.

KDDODE modelingclick prediction

0 likes · 8 min read

Multi-Objective Optimization for Guaranteed Delivery in Video Service Platforms

Tencent Cloud Developer

Jun 27, 2018 · Artificial Intelligence

Search and Optimization Algorithms in Game AI

Game AI relies on a variety of search techniques—ranging from uninformed breadth‑first and depth‑first methods to heuristic‑driven A*, minimax with alpha‑beta pruning, and Monte Carlo Tree Search—as well as optimization approaches such as hill climbing, simulated annealing, genetic and evolution strategies, multi‑objective evolutionary algorithms, and neuroevolutionary methods like NEAT to generate intelligent, balanced, and adaptable game behavior.

A* algorithmMCTSMiniMax

0 likes · 20 min read

Search and Optimization Algorithms in Game AI

JD Tech

Apr 9, 2018 · Artificial Intelligence

Dynamic Pricing, Route Planning, and Order Assignment in Dada's Instant Logistics Platform

The article describes how Dada leverages artificial‑intelligence techniques such as multi‑dimensional supply‑demand forecasting, real‑time dynamic pricing, genetic‑algorithm‑based route planning, and multi‑objective order assignment to optimize its crowd‑sourced instant logistics operations.

dynamic pricinggenetic algorithmlogistics AI

0 likes · 6 min read

Dynamic Pricing, Route Planning, and Order Assignment in Dada's Instant Logistics Platform