Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
October 11, 2025Trudy Universiteta

Hybrid Adaptive Method for Optimizing Marketing Strategies for the Agro-industrial Complex Based on the NSGA-III Algorithm and Machine Learning Methods

View Full Paper
Ask AI
Bookmark
Share

Authors

ZAZhansaya ABILDAYEVARURaissa UskenbayevaSatbayev UniversityASAizhan SMAKHANOVA

Discussion

Loading...

Member takes

Implication

A hybrid adaptive method optimizes marketing strategies in agro-industrial complex, highlighting NSGA-III and machine learning methods.

Key Points

  • The hybrid adaptive method identifies Pareto-optimal solutions for marketing strategies in the agro-industrial complex.
  • Applying NSGA-III, the method considers efficiency, audience access, and costs to optimize outcomes.
  • KMeans clustering and digital restrictions enhance the solution analysis of the proposed marketing strategies.
  • The simulation results reveal a priority strategy focused on TV, achieving a 47.7% allocation in optimization.

Cite This Study

ABILDAYEVA et al. (2025) studied this question.

synapsesocial.com/papers/68e9b1c9ba7d64b6fc1328echttps://doi.org/10.52209/1609-1825_2025_3_433
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1A Hybrid AI Approach for Intelligent Group Buying and Digital Marketing Strategy Optimization Based on Machine Learning and Evolutionary Algorithms2026
  2. 2A Hybrid NSGA-II and Machine Learning Framework for Multi-Objective Marketing Budget Optimization in Kazakhstan’s Agro-Industrial Complex2026
  3. 3Optimal Scheduling of Agricultural Machines in Hilly Mountainous Areas Based on NSGA-II-SA Hybrid Algorithm with Applications2024 · 1 citations
  4. 4Strategic Optimization of Agricultural Supply Chains Based on the Integration of GIS and Multimodal Infrastructure Capacity in Kazakhstan2026
  5. 5Automating consumer segmentation in e-commerce using clustering and the NSGA-II algorithm2026 · 1 citations