{"doi":"10.1109/icips.1997.672732","title":"Evolutionary computation techniques and their applications","abstract":null,"journal":"1997 IEEE International Conference on Intelligent Processing Systems (Cat. No.97TH8335)","year":null,"id":631515,"datarank":0.519860385419959,"base_score":3.4657359027997265,"endowment":3.4657359027997265,"self_citation_contribution":0.519860385419959,"citation_network_contribution":0.0,"self_endowment_contribution":0.519860385419959,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":31,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1636576,"name":"M. Michalewicz","orcid":null,"position":1,"is_corresponding":false},{"id":1636575,"name":"Z. Michalewicz","orcid":null,"position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Evolutionary computation techniques and their applications","abstract":"Evolutionary computation techniques, which are based on a powerful principle of evolution: survival of the fittest, constitute an interesting category of heuristic search. Evolutionary computation techniques are stochastic algorithms whose search methods model some natural phenomena: genetic inheritance and Darwinian strive for survival. This paper discusses the main paradigms of evolutionary computation techniques (genetic algorithms, evolution strategies, evolutionary programming, genetic programming) as well as other methods, which are hard to classify. It addresses an important question \"why evolutionary computation?\" and discusses some applications of these techniques.","is_dataset_classified":null,"base_score":3.4657359027997265,"endowment":3.4657359027997265,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"19767382","pmcid":null,"openalex_id":"https://openalex.org/W1852966908","authors":[],"funders":[],"total_grants":0,"fwci":1.9653,"citation_percentile":0.87310311,"influential_citations":0,"citation_trend":[{"year":2012,"count":1},{"year":2013,"count":1},{"year":2016,"count":2},{"year":2017,"count":1},{"year":2018,"count":2},{"year":2022,"count":1},{"year":2023,"count":1},{"year":2024,"count":1}],"oa_status":"closed","license":null,"oa_locations":[{"url":"https://doi.org/10.1109/icips.1997.672732","host_type":""}],"fields_of_study":["Metaheuristic Optimization Algorithms Research","Evolutionary Algorithms and Applications","Artificial Intelligence in Games"],"mesh_terms":[],"keywords":["Evolutionary computation","Genetic representation","Human-based evolutionary computation","Evolutionary programming","Genetic programming","Interactive evolutionary computation","Computer science","Survival of the fittest","Evolutionary algorithm","Inheritance (genetic algorithm)","Darwinism","Evolutionary music","Computation","Heuristic","Memetic algorithm","Genetic algorithm","Artificial intelligence","Theoretical computer science","Machine learning","Algorithm","Evolutionary biology","Biology"],"sdg_mappings":[],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-05T23:48:24.813107Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}