Symbiotic Organisms Search Algorithm: theory, recent advances and applications

The symbiotic organisms search algorithm is a very promising recent metaheuristic algorithm. It has received a plethora of attention from all areas of numerical optimization research, as well as engineering design practices. it has since undergone several modifications, either in the form of hybridization or as some other improved variants of the original algorithm. However, despite all the remarkable achievements and rapidly expanding body of literature regarding the symbiotic organisms search algorithm within its short appearance in the field of swarm intelligence optimization techniques, there has been no collective and comprehensive study on the success of the various implementations of this algorithm. As a way forward, this paper provides an overview of the research conducted on symbiotic organisms search algorithms from inception to the time of writing, in the form of details of various application scenarios with variants and hybrid implementations, and suggestions for future research directions

Small-signal stability analysis of hybrid power system with quasi-oppositional sine cosine algorithm optimized fractional order PID controller

This article deals with the frequency instability problem of a hybrid energy power system (HEPS) coordinated with reheat thermal power plant. A stochastic optimization method called a sine-cosine algorithm (SCA) is, initially, applied for optimum tuning of fractional-order proportional-integral-derivative (FOPI-D) controller gains to balance the power generation and load profile. To accelerate the convergence mobility and escape the solutions from the local optimal level, quasi-oppositional based learning (Q-OBL) is integrated with SCA, which results in QOSCA. In this work, the PID-controller's derivative term is placed in the feedback path to avoid the set-point kick problem. A comparative assessment of the energy-storing devices is shown for analyzing the performances of the same in HEPS. The qualitative and quantitative evaluation of the results shows the best performance with the proposed QOSCA: FOPI-D controller compared to SCA-, grey wolf optimizer (GWO), and hyper-spherical search (HSS) optimized FOPI-D controller. It is also seen from the results that the proposed QOSCA: FOPI-D controller has satisfactory disturbance rejection ability and shows robust performance against parametric uncertainties and random load perturbation. The efficacy of the designed controller is confirmed by considering generation rate constraint, governor dead-band, and boiler dynamics effects

Load Frequency Control (LFC) Strategies in Renewable Energy‐Based Hybrid Power Systems:A Review

The hybrid power system is a combination of renewable energy power plants and conventional energy power plants. This integration causes power quality issues including poor settling times and higher transient contents. The main issue of such interconnection is the frequency variations caused in the hybrid power system. Load Frequency Controller (LFC) design ensures the reliable and efficient operation of the power system. The main function of LFC is to maintain the system frequency within safe limits, hence keeping power at a specific range. An LFC should be supported with modern and intelligent control structures for providing the adequate power to the system. This paper presents a comprehensive review of several LFC structures in a diverse configuration of a power system. First of all, an overview of a renewable energy-based power system is provided with a need for the development of LFC. The basic operation was studied in single-area, multi-area and multi-stage power system configurations. Types of controllers developed on different techniques studied with an overview of different control techniques were utilized. The comparative analysis of various controllers and strategies was performed graphically. The future scope of work provided lists the potential areas for conducting further research. Finally, the paper concludes by emphasizing the need for better LFC design in complex power system environments

FCC algorithm for power loss diminution

In this work, the FCC algorithm has been applied to the power problem. Real power loss reduction, voltage deviation minimization, and voltage stability enhancement are the key objectives of the proposed work. The proposed FCC algorithm has been modeled based on the competition, communication among teams, and training procedure within the team. The solution has been created based on the team, players, coach, and substitution tactic. A preliminary solution of the problem is produced, and the initialization of the teams depends on the team’s formation with substitute tactics. Mainly fitness function for each solution is computed, and it plays an imperative role in the process of the algorithm. With the performance in the season, promotion and demotion of the teams will be there. Most excellently performed teams will be promoted to a senior division championship, and the most poorly performed team will be demoted to the top lower division league. Ideas and tactics sharing procedure, repositioning procedure, Substitution procedure, seasonal transmit procedure, Promotion and demotion procedure of a team which plays in the confederation cup has been imitated to solve the problem. Similar to an artificial neural network, a learning phase is also applied in the projected algorithm to improve the quality of the solution. Modernization procedure employed sequentially to identify the best solution. With and without voltage stability (L-index) FCC algorithm is evaluated in IEEE 30, bus system. Then the Proposed FCC algorithm has been evaluated in standard IEEE 14, 57,118,300 bus test systems without Lindex. Power loss minimization and voltage stability index improvement have been achieved with voltage deviation minimization

Optimized task scheduling based on hybrid symbiotic organisms search algorithms for cloud computing environment

In Cloud Computing model, users are charged according to the usage of resources and desired Quality of Service (QoS). Task scheduling algorithms are responsible for specifying adequate set of resources to execute user applications in the form of tasks, and schedule decisions of task scheduling algorithms are based on QoS requirements defined by the user. Task scheduling problem is an NP-Complete problem, due to the NP-Complete nature of task scheduling problems and huge search space presented by large scale problem instances, many of the existing solution algorithms incur high computational complexity and cannot effectively obtain global optimum solutions. Recently, Symbiotic Organisms Search (SOS) has been applied to various optimization problems and results obtained were found to be competitive with state-of-the-art metaheuristic algorithms. However, similar to the case other metaheuristic optimization algorithms, the efficiency of SOS algorithm deteriorates as the size of the search space increases. Moreover, SOS suffers from local optima entrapment and its static control parameters cannot maintain a balance between local and global search. In this study, Cooperative Coevolutionary Constrained Multiobjective Symbiotic Organisms Search (CC-CMSOS), Cooperative Coevolutionary Constrained Multi-objective Memetic Symbiotic Organisms Search (CC-CMMSOS), and Cooperative Coevolutionary Constrained Multi-objective Adaptive Benefit Factor Symbiotic Organisms Search (CC-CMABFSOS) algorithms are proposed to solve constrained multi-objective large scale task scheduling optimization problem on IaaS cloud computing environment. To address the issue of scalability, the concept of Cooperative Coevolutionary for enhancing SOS named CC-CMSOS make SOS more efficient for solving large scale task scheduling problems. CC-CMMSOS algorithm further improves the performance of SOS algorithm by hybridizing with Simulated Annealing (SA) to avoid entrapment in local optima for global convergence. Finally, CC-CMABFSOS algorithm adaptively turn SOS control parameters to balance the local and global search procedure for faster convergence speed. The performance of the proposed CC-CMSOS, CC-CMMSOS, and CC-CMABFSOS algorithms are evaluated on CloudSim simulator, using both standard workload traces and synthesized workloads for larger problem instances of up to 5000. Moreover, CC-CMSOS, CC-CMMSOS, and CC-CMABFSOS algorithms are compared with multi-objective optimization algorithms, namely, EMS-C, ECMSMOO, and BOGA. The CC-CMSOS, CC-CMMSOS, and CC-CMABFSOS algorithms obtained significant improved optimal trade-offs between execution time (makespan) and financial cost (cost) while meeting deadline constraints with no computational overhead. The performance improvements obtained by the proposed algorithms in terms of hypervolume ranges from 8.72% to 37.95% across the workloads. Therefore, the proposed algorithms have potentials to improve the performance of QoS delivery

An Adaptive Fuzzy Symbiotic Organisms Search Algorithm and Its Applications

This paper discusses the development of a Symbiotic Organisms Search Algorithm (SOS) variant, called Adaptive Fuzzy SOS (FSOS). Like SOS, FSOS exploits three types of symbiosis operators namely mutualism, commensalism, and parasitism in order to undertake the search process. Unlike SOS, FSOS is able to adaptively select a single or any combination of mutualism, commensalism, and parasitism update operator(s) as the search progresses based on the current search status controlled by their individual probabilities via the fuzzy decision-making. To validate its performance, we have evaluated FSOS to solve 23 benchmark functions and take a t-way test generation as our case study. Experimental results demonstrate that FSOS exhibits competitive performance against its predecessor (SOS) and other competing metaheuristic algorithms

Optimization of FACTS devices : classification, recent trends, and future outlook

Since the inception of industrialization, power system has been an indispensable aspect of economy. With the progression of time, technology has impalpably commingled into our lifestyle. Alongside blooming technologies, energy demand is proliferating and power companies are begetting energy at their best to quench it. Growing reliance on power system has brought its quality into more advertence. Various electronic devices and topologies have been invented to enhance power quality and reliability; numerous others are still underway. During the course, power system has grown to an intricate network of sources, loads and control devices, leading to various issues such as transmission congestion and high losses. This paper discusses ways to ameliorate congestion and gives an overview of relationship between our present energy resources and ecological threats like global warming. Moreover, it points out various power system problems such as energy losses and transients. The necessity of FACTS devices has also been elaborated alongside their classification and comparison. Finally, numerous topologies and optimization methods proposed in the technical literature have been classified and analyzed to alleviate power system conundrums, and a glimpse into future energy trends is presented

Artificial intelligence and architectural design : an introduction

Descripció del recurs: 27 juliol 2022The aim of this book on artificial intelligence for architects and designers is to guide future designers, in general, and architects, in particular, to support the social and cultural wellbeing of the humanity in a digital and global environment. This objective is today essential but also extremely large, interdisciplinary and interartistic, so we have done just a brief introduction of the subject. We will start with the argument fixed by the Professor Jonas Langer in his web some years ago, that we have defined as: “The Langer’s Tree”.Primera edició

For an echology of microbe-artworks : thinking in between art and science

Une entité scientifique, tout en ayant son propre devenir dans le domaine scientifique, s’étend aussi souvent à d’autres domaines d’activité. Parallèlement à la diffusion des découvertes scientifiques, elle peut susciter un intérêt artistique ou conceptuel. Les études sur le microbiome humain ont nourri un tel intérêt pour les microbes et ont encouragé de nombreux artistes à entrer dans un laboratoire de biologie et à produire des oeuvres artistiques avec et à travers les microbes. Ces oeuvres d’art établissent une relation étroite avec les découvertes scientifiques récentes, les procédures et les protocoles, et posent des questions philosophiques sur la vie et la mort, la nature, l’humanité, et les relations entre les êtres vivants. Cette thèse vise à examiner les processus sociaux, techniques, politiques et économiques qui traversent les sciences des microbes et à déterminer comment ils aboutissent dans les oeuvres d’Elaine Whittaker, Tarsh Bates, François-Joseph Lapointe, Günes-Helen Isitan, le collectif Interspecifics, Victoria Shennan, Saša Spačal, Sonja Bäumel, Raphael Kim et Kathy High. Lorsque nous trouvons un microbe dans un contexte particulier, que trouvons-nous d’autre avec lui ? Dans quelles conditions apparaît-il dans une oeuvre d’art et avec quels éléments l’oeuvre compose-t-elle pour produire des effets esthétiques ? Dans cette thèse, l’histoire des microbes considérée du point de vue des formes d’art les mobilisant (ou « microbe-oeuvres d’art » pour microbe-artworks) commence en fait avec des animalcules qui n’étaient pas encore des entités scientifiques à part entière, mais qui présentaient virtuellement les forces qui seraient réunies plus tard sous le terme scientifique de « microbe ». Dans un premier temps, les animalcules, nommés après des observations d’Antonie von Leeuwenhoek, ont suscité l’intérêt de philosophes comme Leibniz et Spinoza et intensifié la curiosité de peintres comme Johannes Vermeer pour les éléments microscopiques de la vision, initiant ainsi des voyages entre les champs scientifiques et artistiques. Cette étude propose de problématiser ces voyages à l’aide du concept d’« échologie », un terme oublié d’une thèse écrite dans les années 1970 par Jean Milet sur la sociologie de Gabriel Tarde. Mais les théories d’autres philosophes tels que Georges Canguilhem, Michel Foucault, Gilles Deleuze, Félix Guattari, Marie-José Mondzain, et Gilbert Simondon, et des penseurs contemporains tels que Thierry Bardini et Brian Massumi sont également mobilisées pour donner à ce terme toute sa cohérence. Selon l’échologie, les entités sont constituées des motifs (patterns) d’interférence et de résonance avec d’autres choses, qui précèdent leur représentation. Ainsi, une 5 entité donnée est un complexe de forces, et son apparition, le résultat de certaines techniques qui la mettent en relation avec d’autres complexes ne peut s’expliquer comme un effet associé à une seule cause, mais se donne comme un effet supplémentaire, un extra-effet ou un surplus qui laisse toujours une trace ou un résidu. D’un point de vue échologique, une microbe-oeuvre d’art s’opère comme une interface qui intègre des potentiels qui se rendent visibles à travers les traces en vertu de multiples processus recoupant les activités scientifiques et les stratégies artistiques. Chaque chapitre de la thèse est ainsi une étape dans un voyage conceptuel expérimental, révélant les dimensions des oeuvres d’art considérées au regard de l’analyse de ces traces. Au cours de ce voyage, les éléments des théories scientifiques concernées, des entretiens avec des artistes, des sorties sur des sites de pratique des arts biologiques, lors d’ateliers, de conférence et d’écoles d’été sont mobilisés comme facteurs contribuant à la construction des champs problématiques dans chaque chapitre. Les microbes considérés comme des objets de beauté apparaissent comme le résultat d’une transformation discursive des sciences biologiques. D’une conception pathogène des microbes aux approches écologiques, l’iconicité des microbes associés aux microbe-images, l’échologie des microbe-sons, le devenir-milieu de certaines microbe-oeuvres d’art, et enfin la question de l’individuation de la pensée, et l’éthique corrélée compris comme le problème de la valorisation des microbes dans des microbe-oeuvres d’art, le devenir-microbe découle de cette transformation discursive à travers le champ artistique.A scientific entity, while having its own becoming in the scientific field, often also spreads to other fields of activity, such as art and philosophy. Microbiome studies fed such an interest towards microbes and encouraged many artists to enter a biology laboratory and produce a work of art with and through microbes. These artworks establish a close relationship with recent scientific findings, procedures and protocols, and ask philosophical questions about life and death, nature, humanness, and the relationships between living beings. This thesis aims to examine the social, technical, political, and economic processes that go through the microbe sciences and determine how they come together in the artworks of Elaine Whittaker, Tarsh Bates, François-Joseph Lapointe, Günes-Helen Isitan, the collective Interspecifics, Victoria Shennan, Saša Spačal, Sonja Bäumel, Raphael Kim, and Kathy High. When we find a microbe in a particular context, what else do we find with it? Under which conditions does it appear in an artwork and which elements does the artwork compose with to produce aesthetic effects? In this thesis, the story of microbes is recounted from the perspective of microbe-artworks and starts with animalcules, the not yet full-fledged scientific entity which virtually present the forces that would be brought together under the scientific term “microbe”. At first, animalcules––named after Antonie van Leeuwenhoek’s observations, attracted the interest of philosophers such as Leibniz and Spinoza and intensified the curiosity of painters such as Johannes Vermeer towards the microscopic elements of seeing, hereby initiating journeys between scientific and artistic fields. This study proposes to problematize these journeys as an “echology”. Echology is a forgotten term first introduced in the ‘70s by Jean Milet in his thesis about the sociology of Gabriel Tarde. Here, the theories of other philosophers such as Georges Canguilhem, Michel Foucault, Gilles Deleuze, Félix Guattari, Marie-José Mondzain, Gilbert Simondon, and contemporary thinkers such as Thierry Bardini and Brian Massumi are mobilized in order to give this term its full consistency. According to echology, entities consist of patterns of interference and resonance with other things, which arise before their representation. Thus, a given entity is a complex of forces and its apparition the result of certain techniques which put it into relation with other complexes cannot be explained as an effect associated with a single cause but gives itself as an extra-effect or surplus that always leaves a remainder. From an echological perspective, a microbe- 7 artwork operates as an interface that incorporates potentials that make themselves visible through the remainders by virtue of multiple processes cutting across scientific activities and artistic strategies. Each chapter of the thesis is thus a way station in a conceptual journey of experimentation, revealing the dimensions of the artworks under consideration with respect to the analysis of these remainders. During this journey, elements of scientific theories, interviews with artists, field trips to sites of practice of the biological arts, related workshops and summer schools are mobilized as contributory factors of the construction of the problematic fields in each chapter. Microbes considered as objects of beauty hence appear as the result of discursive transformation of biological sciences. From earlier pathogenic conceptions of microbes to contemporary ecological approaches, the iconicity of microbes associated with microbe-images, echology of microbe-sounds, becoming-milieu of certain microbe-artworks, and finally, the question of individuation of thought and the correlated ethics understood as the problem of valuation of microbe-artworks, the becoming-microbe stems from this discursive transformation through the art field