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BREAKING BARRIERS IN OPTIMIZATION: CHAOTIC MAP-INTEGRATED ALGORITHMS FOR PRACTICAL CHALLENGE Luangpaiboon, Pongchanun; Visuwan, Danupun; Nanphang, Atiwat; Ruekkasaem, Lakkana; Aungkulanon, Pasura
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 19 No 4 (2025): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol19iss4pp2777-2790

Abstract

Real-world applications frequently necessitate optimization of chaotic response surfaces and constrained functions, which present difficult challenges for conventional methods. In order to effectively manage constraints and uncertainty, these complexities necessitate sophisticated algorithms. The objective of this research is to optimize the Rider Optimization Algorithm (ROA) by incorporating chaotic maps—namely, Logistic, Sinusoidal, and Iterative—to enhance exploration and exploitation. The chaotic ROA consistently outperforms the standard ROA in convergence speed, accuracy, and robustness, as evidenced by benchmark evaluations. For instance, in the multiple disk clutch brake design problem, the chaotic ROA obtained the highest objective value of 0.2352, which was equivalent to or greater than the leading algorithms TSO, MFO, and WOA. The chaotic ROA variants (ROAC1, ROAC2, ROAC3) exhibited superior stability by achieving low standard deviations (e.g., 0.3321 in the Branin function at high noise levels) across noisy response surface benchmarks. The integration of constraint-handling mechanisms guaranteed that practicable solutions were achieved without sacrificing optimality. The chaotic ROA is established as a robust and adaptable solution for complex, noisy, and constrained optimization challenges in industrial scheduling, resource allocation, and engineering design by the proposed approach.
A STEPWISE FRAMEWORK FOR PRIORITIZING BLOCKCHAIN-ENABLED WASTE MANAGEMENT STRATEGIES IN THAILAND USING FUZZY-AHP, FUZZY-PROMETHEE, AND FACTORIAL DESIGN APPROACH Tepvarin, Apirak; Luangpaiboon, Pongchanun; Nanphang, Atiwat
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 19 No 4 (2025): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol19iss4pp2861-2876

Abstract

Waste management remains a significant challenge in Thailand, as over 27 million tons of waste are produced annually, with over 30% being inadequately managed. The absence of effective waste tracking and monitoring systems further exacerbates the severe environmental issues, such as water contamination, landfill emissions, and public health hazards, that result from this improper handling. This investigation investigates the potential of blockchain technology to improve the efficiency, security, and transparency of waste management processes. A structured decision-making approach is implemented to evaluate blockchain-enabled strategies, which integrates the Fuzzy Analytic Hierarchy Process (FAHP) and the Fuzzy Preference Ranking Organization Method for Enrichment Evaluations (FPROMETHEE). To ascertain the relative significance of the eight critical criteria—operational cost, environmental impact reduction, feasibility, long-term sustainability, revenue generation potential, landfill reduction, cost-effectiveness, and public accessibility—FAHP synthesizes expert opinions under uncertain conditions. Eight critical criteria were assessed. Four blockchain-based waste management strategies were examined: waste tracking systems, recycling incentive programs, waste exchange platforms (WEP), and pay-as-you-throw (PAYT) schemes. These strategies were ranked using the FPROMETHEE method, which ensured a standardized and robust evaluation through an optimization-based normalization procedure. Based on the results, PAYT is the most effective strategy, as it promotes accountability and minimizes landfill dependency by charging households based on waste volume, thereby incentivizing waste reduction at the source. The sensitivity analysis emphasizes WEP as an additional promising approach. PAYT and WEP demonstrate substantial economic viability, ecological impact, and advantages in transparency. The results underline the potential of blockchain to improve stakeholder collaboration, streamline waste management operations, and promote sustainable waste reduction initiatives. This research offers a practical framework for the implementation of blockchain-based waste management solutions to support Thailand's transition toward a circular economy, providing policymakers with valuable insights.