The Cuckoo wasps (Hymenoptera, Chrysididae) having interesting metallic coloration are interesting family of wasps that are not studied sufficiently in Iran. This family is reviewed in Iran, based on recently collected materials from north- west of Iran and available literature. Thirty species are listed from the subfamily Chrysidinae of which, 25 species are recorded for the first time from Iran. In addition, keys to Iranian genera and discussions of these species are given. Found species in this research were listed:Chrysis angustifrons Abeille, 1878; Chrysis annulata Buysson, 1887; Chrysis comta Forster, 1853; Chrysis concolor Mocsary, 1892; Chrysis fulgida Linnaeus, 1761; Chrysis gracillima Forster, 1853; Chrysis grohmanni boloivari Dahlbom, 1854; Chrysis kokandica Radoszkowski, 1877; Chrysis leachii Shuckard, 1836; Chrysis marginata Mocsary, 1889; Chrysis pulchella Spinola, 1808; Chrysis pyrrhina Dahlbom, 1845; Chrysis rubricate Mocsary, 1902; Chrysis soror Dahlbom, 1854; Chrysis near subanalis Linsenmaier, 1968; Chrysis taczanovski Radoszkowski, 1876; Chrysis viridissima Klug, 1845; Spinolia dournovi (Radoszkoowski, 1866); Spintharina vagans Radoszkowski, 1887; Trichrysis cyanea (Linnaeus, 1758); Hedychridium dzhanelidzei Semenov, 1967; Hedychrum flavipes temperatum Linsenmaier 1959; Holopyga punctatissima Dahlbom, 1854; Omalus biaccinctus (Buysson, 1893); 1854; Peudomalus bergi (Semenov, 1932).

In recent years, the research on the Iranian Chrysididae has been extremely prolific, thanks to the efforts of different teams. After the first checklist published by Rosa et al. (2013), more than one hundred taxa of Cuckoo wasps have been recorded as new for Iran, including nine taxa described as new for science. Moreover, major modifications impacted the taxonomy of the family with two genera revaluated (Chrysellampus Semenov-Tian-Shanskij, 1932 and Colpopyga Semenov-Tian-Shanskij, 1954), Pseudochrysis Semenow, 1891 reintroduced for Pseudospinolia Linsenmaier, 1951; the description of the genus Morphochrysis Rosa & Pavesi, 2023 and several taxonomical changes to species level which were published and that deeply changed the first checklist, namely. As a consequence of all these fragmented changes, we propose a new, updated checklist of the Iranian species, to summarize all the new findings published in the last years. We describe eleven new species for science, Chrysis amerii Rosa & Farhad, sp. nov., C. chamrosh Rosa, sp. nov., C. crenulata Rosa, sp. nov., C. edentata Rosa & Baiocchi, sp. nov., C. peri Rosa & Baiocchi, sp. nov. and C. titanica Rosa, sp. nov. (succincta group), C. mediasignata Rosa, sp. nov. (leachii group), C. heimi Rosa, sp. nov. (maculicornis group), C. simurgh Rosa, sp. nov. (subsinuata group), Chrysura filidichroa Rosa, sp. nov. (dichroa group) and Hedychridium personatum Rosa, sp. nov. with its own new species-group. We report twenty-six new records of Chrysidinae for Iran: Chrysidea disclusa (Linsenmaier, 1959); Chrysis afghanica Linsenmaier, 1968; C. cylindrica Eversmann, 1858; C. echidna Semenov-Tian-Shanskij, 1967; C. grohmanni bolivari Mercet, 1902; C. klio Balthasar, 1953; C. laetula Semenov-Tian-Shanskij & Nikol'skaya, 1954; C. leuconoe Semenov-Tian-Shanskij, 1967; C. maracandensis Radoszkowski, 1877; C. mirabilis Radoszkovsky, 1877; C. mossulensis Abeille de Perrin-du Buysson, 1887; C. pseudobrevitarsis Linsenmaier, 1951; C. robertsi Rosa, 2020; C. rutilans Olivier, 1791; C. turcomana Semenov-Tian-Shanskij & Nikol'skaya, 1954; Chrysura laodamia laodamia (du Buysson, 1900); Euchroeus pellucidus (Radoszkowski, 1877); Hedychridium bytinskii Linsenmaier, 1959; H. mochii Strumia, 1994; H. plagiatum (Mocsáry, 1883); Hedychrum concinnum (Mocsáry, 1909); H. semicyaneum Mocsáry, 1889; Spinolia stchurovskyi (Radoszkowski, 1877); Spintharina extrema (Semenov-Tian-Shanskij & Nikol’skaya, 1954), and S. houskai (Balthasar, 1953). The current number of known taxa has therefore increased from 185 (179 species and 6 subspecies) to 315 (306 species + 9 subspecies). Hedychrum persicum Mocsáry, 1914 stat. nov. is upgraded to species rank. Chrysis chrysophora Semenow, 1892 and Hedychrum cyaneum Brullé, 1846 are considered nomina dubia and the latter as incertae sedis. Chrysis dawahi Strumia, 2012 is considered nomen nudum. The majority of chrysidid species in Iran (77.64%) are found exclusively in the Western Palearctic region. Among these, 21% are restricted to the Western Palaearctic. A thorough discussion is also provided on unreliable and doubtful species records. PlumX Metrics

Two Cuckoo wasp species (Hymenoptera: Chrysididae), Trichrysis lacerta (Semenov, 1954) from the subfamily Chrysidinae, and Cleptes striatipleuris Rosa, Forshage, Paukkunen & Soon, 2015 from the subfamily Cleptinae, are newly documented for the Iranian fauna. The specimens were collected using Malaise traps in the Fars Province, south of Iran during 2015-2016. Notes about taxonomy, relevant references as well as geographical distribution of both species are given. The total number of Iranian Trichrysis and Cleptes currently increased to four and three species, respectively.

The Iranian species of the genus Holopyga (Hymenoptera: Chrysididae) were investigated. Specimens were collected during four years of field research between 2010 and 2013, in northern and southern provinces of Iran. Twenty one species and subspecies were recognized, of which four species and one subspecies were recorded for the first time from Iran: Holopyga beaumonti Balthasar, 1953; H. fascialis Linsenmaier, 1959; H. ignicollis Dahlbom, 1854; H. inflammata inflammata (Förster, 1853) and H. jurinei Chevrier, 1862. Geographical distribution of all species and morphological diagnostic characteristics of the newly recorded species are given. The number of Holopyga species and subspecies in Iran is now raised to 21.

The Ichneumonid fauna (Hym., Ichneumonidae) was investigated in different regions of Yazd and vicinity during 2006 -2008. A total of nine species were collected and identified. According to the available literatures, the two asterisked species are reported for the first time from Iran.1. Diplazon laetatorius (Fabricius, 1781)2. Ophion ventricosus Gravenhorst, 18293. Ophion luteus (Linnaeus, 1758)*4. Ophion obscurus Fabricius, 1804*5. Ichneumon caloscelis Wesmael, 18456. Netelia arimeniaca Tolkanitz, 19717. Meringopus calescens (Gravenhorst, 1829)8. Cryptus spinosus Gravenhorst, 1829Some information relating to the morphological characters, host range and geographical distribution of two new species records were presented and discussed.

Today, with rapid growth of the World Wide Web and creation of Internet sites and online text resources, text summarization issue is highly attended by various researchers. Extractive-based text summarization is an important summarization method which is included of selecting the top representative sentences from the input document. When, we are facing into large data volume documents, the extractive-based text summarization seems to be an unsolvable problem. Therefore, to deal with such problems, meta-heuristic techniques are applied as a solution. In this paper, we used Cuckoo Search Optimization Algorithm (CSOA) to improve performance of extractive-based summarization method. The proposed approach is examined on Doc. 2002 standard documents and analyzed by Rouge evaluation software. The obtained results indicate better performance of proposed method compared with other similar techniques.

Block modeling as a social structure discovery process needs to find and adopt a partitioning of actors to equivalent classes or positions. The best partitioning, naturally, must provide the closest estimation of network ties and show the most agreement with original network data. This interpretation of the best, leads to the structure with the most fitness to original network data. Finding this best partition vector can be formulated as an optimization problem and can be solved by Meta heuristic algorithms. In this paper, we use Cuckoo search and genetic algorithm as a basis for comparison with Cuckoo search. In addition to simple Cuckoo search, we apply a hybrid Cuckoo search algorithm to find the solution. The results of experiments through multiple samples reveals that while genetic algorithm shows the better performance in terms of convergence time and small iteration, the hybrid Cuckoo search finds the better solutions than genetic algorithm in large iteration in terms of quality of solutions measured by fitness function. Furthermore, the hybrid Cuckoo search shows no significant superiority over the simple Cuckoo search, unless the large iteration numbered is used. In addition to block model problem, the proposed hybrid Cuckoo search shows clear superiority over the greedy discrete PSO for community detection problem.