{
  "abstract": "Combined Heat and Power Economic Dispatch (CHPED) is a nonlinear and nonconvex optimization problem involving the coordinated operation of power-only, heat-only, and combined heat-and-power units under electrical and thermal balance constraints, coupled CHP operating regions, valve-point loading effects, and transmission losses. This study proposes a Memory-Assisted Self-Adaptive Bonobo Optimizer (MSBO), which extends the original Bonobo Optimizer (BO) through old, worse, and bad memory populations, adaptive partner selection, and repulsion-based parameter learning. The retained evolutionary information is used to improve search diversity, mitigate stagnation, and regulate the exploration-exploitation balance according to search progress. MSBO is evaluated on 7-unit and 48-unit CHPED systems under both lossless and transmission-loss conditions. Repeated-run analysis shows that, for the 7-unit system, MSBO reduces the standard deviation of the final cost by 99.94% and 99.95% in the lossless and lossy cases, respectively, while the Mann–Whitney tests (p=0.1485 and p=0.4095) indicate that the principal benefit is improved repeatability rather than a significant shift in the central cost level. For the 48-unit system, MSBO achieves mean operating-cost savings of 931.09 $/h and 782.54 $/h, with highly significant Mann–Whitney results of p=3.08×10−8 and p=5.23×10−7, respectively. The estimated probabilities that an MSBO run outperforms a BO run are 91.67% and 96.50% for the two 48-unit scenarios. These results demonstrate that MSBO primarily strengthens solution reliability for the smaller CHPED system while improving both operating-cost quality and repeated-run performance for the larger-scale system.",
  "abstract_shown": true,
  "affiliations": [
    "Department of Electrical and Electronics Engineering, Faculty of Engineering and Computer Science, Jazan University, Jizan 45142, Saudi Arabia",
    "Electrical Engineering Department, Faculty of Engineering, South Valley University, Qena 83523, Egypt",
    "Electrical Engineering Department, Faculty of Engineering, Suez Canal University, Ismailia 41522, Egypt",
    "Green Energy Program, Egypt-Japan KOSEN (EJ-KOSEN) Institute of Technology, 10th of Ramadan City, El Sharkia 44629, Egypt"
  ],
  "article_type": null,
  "arxiv": null,
  "author_total": 6,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Ahmed Daeli"
    },
    {
      "affs": [
        0
      ],
      "name": "Ghareeb Moustafa",
      "orcid": "0000-0002-9394-5251"
    },
    {
      "affs": [
        0
      ],
      "name": "Hashim Alnami"
    },
    {
      "affs": [
        0
      ],
      "name": "Sultan H. Hakmi"
    },
    {
      "affs": [
        1
      ],
      "name": "Shazly A. Mohamed",
      "orcid": "0000-0001-9562-1106"
    },
    {
      "affs": [
        2,
        3
      ],
      "name": "Hany S. E. Mansour",
      "orcid": "0000-0001-8729-8329"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/anx3h7mbpq8h7.bib",
  "cited_by": 0,
  "doi": "10.3390/math14203684",
  "fulltext_url": null,
  "id": "anx3h7mbpq8h7",
  "issns": [
    "2227-7390"
  ],
  "landing_url": "https://www.mdpi.com/2227-7390/14/20/3684",
  "language": null,
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "openalex",
      "2208|Electric Power System Optimization"
    ]
  ],
  "openalex": "W7221551897",
  "pdf_url": null,
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-10",
  "publisher": "MDPI AG",
  "ris": "https://research.draconitic.com/paper/anx3h7mbpq8h7.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:18:29Z",
      "native_id": "10.3390/math14203684",
      "source": "crossref",
      "url": "https://www.mdpi.com/2227-7390/14/20/3684"
    }
  ],
  "subjects": [
    {
      "field": "mathematics",
      "origin": "issn:2227-7390",
      "subfield": "general"
    }
  ],
  "title": "A Memory-Assisted Self-Adaptive Bonobo Optimizer for Economic Dispatch with Valve-Point Effects Including Combined Heat and Power Units",
  "title_text": "A Memory-Assisted Self-Adaptive Bonobo Optimizer for Economic Dispatch with Valve-Point Effects Including Combined Heat and Power Units",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:18:29Z",
  "url": "https://research.draconitic.com/paper/anx3h7mbpq8h7",
  "venue": "Mathematics",
  "versions": []
}