Tagged articles
3 articles
Page 1 of 1
Alimama Tech
Alimama Tech
Aug 30, 2024 · Operations

How a Bi‑Objective Local Search Improves Contract Ad Inventory Allocation

This article presents a bi‑objective inventory allocation model for guaranteed‑delivery advertising that simultaneously maximizes impressions for new orders and balances supply distribution, and introduces a fast alternating local‑search algorithm (BOLS) that outperforms popular multi‑objective evolutionary algorithms and the commercial solver Gurobi in extensive experiments.

Ad TechOperations Researchbi-objective optimization
0 likes · 21 min read
How a Bi‑Objective Local Search Improves Contract Ad Inventory Allocation
Alimama Tech
Alimama Tech
Jul 11, 2024 · Artificial Intelligence

Efficient Local Search for Guaranteed Display Advertising Inventory Allocation with Multilinear Constraints

The paper introduces LS‑IMP, a two‑stage local‑search algorithm with four novel operators that efficiently solves guaranteed‑delivery advertising inventory allocation under non‑convex multilinear media‑preference constraints, consistently outperforming commercial solvers and heuristics in solution quality and speed on real‑world datasets.

algorithminventory allocationlocal search
0 likes · 17 min read
Efficient Local Search for Guaranteed Display Advertising Inventory Allocation with Multilinear Constraints
Model Perspective
Model Perspective
Oct 23, 2022 · Artificial Intelligence

Understanding the Butterfly Optimization Algorithm: Theory and Python Code

This article explains the Butterfly Optimization Algorithm (BOA), covering its biological inspiration, core concepts such as scent-based global and local search, key parameters, iteration process, and provides a complete Python implementation with example usage and visualisation of convergence.

Artificial IntelligenceButterfly Optimization AlgorithmPython
0 likes · 15 min read
Understanding the Butterfly Optimization Algorithm: Theory and Python Code