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This study aims to present a novel optimization technique to solve the combined economic emission dispatch (CEED) problem considering transmission losses, valve-point loading effects, ramp rate limits and prohibited operating zones. This is one of the most complex optimization problems concerning power systems.

The proposed algorithm has been called advanced particle swarm optimization (APSO) and was created by applying several innovative modifications to the classic PSO algorithm. APSO performance was tested on four test systems having 14, 40, 54 and 120 generators.

The suggested modifications have improved the accuracy, convergence rate, robustness and effectiveness of the algorithm, which has produced high-quality solutions for the CEED problem.

The results obtained by APSO were compared with those of several other techniques, and the effectiveness and superiority of the proposed algorithm was demonstrated. Also, because of its superlative characteristics, APSO can be applied to many other engineering optimization problems. Moreover, the suggested modifications can be easily used in other population-based optimization algorithms to improve their performance.

This study aims to the effect of NaF, Li₂CO₃ and H₃BO₃ minerals was investigated, and the best mineralizer was found to be H₃BO₃. Furthermore, the effect of temperature was investigated, and the synthesized samples were calcined at temperatures of 1100, 1200 and 1300 °C to select the optimum calcination temperature.

This study was aimed at thoroughly investigating the effects of mineralizer addition and temperature on the synthesis of malayaite pink pigment based on raw materials of SnCl₂-SiO₂-Ca(OH)₂-K₂Cr₂O₇. To this end, the optimization of the synthesis parameters such as mineralizer addition and temperature was completely perused.

The optimum temperature was 1300 °C, and the color efficiency of pigments was evaluated by colorimetric (CIE L*a*b* system) analysis, and these parameters were close to those of industrial pigments.

To the best of the authors’ knowledge, for the first time, the effect of mineralizer addition and temperature on the synthesis of malayaite pink pigment was investigated through the sol-gel method. Herein, different parameters were optimized to propose a novel pigment with a much better performance.

In this chapter, we have focused on system processing through incoming data and big data and system analysis after data processing and clustering and then intelligent decision-making that can be driven and done entirely through an Internet of Thing (IoT), AI, BI and the future of fourth technologies, so this new and fast processing has direct effect in consumers choices. Based on the 5th wave and i-Sustainability Plus and DCT (Doost Cultural Theroy) theories, SME 5.0/Hybrid SMEs/Tomorrow's SMEs concept, seven pillars of sustainability (7PS) model, nine pillars of sustainable governance (9PSG) model, 3D soci-eco-environment SME model and the related theories, models and concepts which has been invented, introduced and developed by Hamid Doost Mohammadian 2010–2017, to name examples, a new idea of tomorrow's SMEs, the associated theories, models and concepts, it can be assumed that a thriving Industry 4.0 implementation can take place with this comprehensive tool and method kit. The next technical-technological level represents a barrier, whether in the 5th wave theory simply called ‘Industry 5.0’ or made hardly more tangible with artificial intelligence and hyper-networking. Hybrid forms of work, with known forms of online/offline communication, are expanded with communication interfaces that support people not involved but directly and indirectly affected.

Based on the 5th wave/tomorrow age theory, we are living in the world that is in necessity to change. Rapid urbanization causes global challenges such as economic problems and recessions, environmental challenges, climate change, social instability, health diseases, biological attached, and crisis caused by technological dominations. These challenges threaten the world, humanity, and human beings. Therefore, it is vital to tackle and struggle with them in order to maintain the world and improve quality of livability and quality of life to achieve sustainability. Generally, modern Blue-Green urban areas and smart cities with high quality of livability and life are proposed to deal with urbanization challenges to maintain the world and improve quality of human life. Based on Prof. Doost's 5th wave theory, related theories, concepts and models like Doost Risk Mitigation Method (DRMM), and also his experience on sustainability as best practice such as cooperating with Danish Sustainable Platforms Company, working as an academic leader at IoE/EQ EU Erasmus Plus project in Germany during 2017–2020, cooperating with former mayor of Copenhagen, consulting the German MV State Minister of Energy, Digitalization, and Infrastructure to cooperate with Iran in 2016, more than 15 years holding lecture and research internationally about risk and risk management on mobility in different universities like (TU Berlin) Technical University of Berlin (EUREF Campus, Sustainable Mobility Management and Sustainability Building) and also achieving a honorary doctorate in sustainable development management, a practical model concerned on risk management in mobility to provide comprehensive global Blue-Green clean sustainable urban mobility risk mitigation strategic plan is given. Therefore, in this chapter, impact of risk management on mobility to provide sustainable global urban mobility plan in order to create modern Blue-Green sustainable urban area and future smart cities through the 5th wave theory are explored. Fundamentally, the main goal of the research is to have an applied study about mobility risk mitigation and utilize it as a key to create comprehensive global urban mobility risk mitigation plan toward Blue-Green sustainable clean mobility technologies to create modern sustainable smart cities through the tomorrow age theory in order to create livable urban area with high quality of livability and life. In addition, the risks in mobility through the DRMM are measured to analyze the risk and to do risk mitigation and mobility project improvement to move to sustainable mobility and high sustainability in future smart cities.

In the twenty-first century, as the D3 technological revolutions of jobs, which include digitalisation, decarbonisation and decentralisation, is running in most businesses, we are faced with a new generation of fast processing, including decision-making of machines instead of humans. This matter opens a new gate of new and upgraded business infrastructure, especially for small and medium enterprises (SMEs), to replace artificial intelligence (AI) and neural networks instead of human employees. Incorporating the Internet of Things (IoT) into business processes is essential for SME growth. Big data analytics may use big data to communicate with their markets and consumers, enhance efficiency, cut costs, validate choices and spot trends by retrieving, analysing and managing data. So, in this regard, it seems simultaneous with the rise of intelligent networks that AI appears in human communities more tangible and efficient.

Nowadays, sustainable, clean, inclusive, innovative, and smart mobility in addition to urban transformation is required to achieve sustainable development as a path to preserve the world for future concerns and improve quality of life at the present, even to be kept up with growing citizens' needs. Mobility as an infrastructure component plays fundamental roles in urban transformation, and economic development. In this chapter, and based on the 5^th wave theory, related theories, models, and concepts, modern, clean, and inclusive mobility founded on high future of 4th technologies (which is called 5th technologies), digitalization, smartness, sustainability, and CSR 2.0 strategies is declared as proper clean mobility technologies to create sustainable and smart cities. Such smart cities are able to deal with challenges made by rapid, unplanned urbanization and globalization to achieve sustainable development. In this research, roles of inclusive and smart mobility systems as path to create modern and sustainable urban areas to make the world more sustainable and livable for living are declared. Literature reviews, case studies, interviews, and questionaries are applied as main methods to recognize inclusive and modern mobility and its roles in urban transformation to achieve sustainable development. This chapter is based on know-how and do-how of the author Prof. Hamid Doost on sustainability such as cooperating with Danish Sustainable Platforms Company, working with Erasmus Plus as an academic leader in Germany since 2017, cooperating with Copenhagen's former mayor and researching on sustainability. In this chapter, impact of sustainable mobility, sustainable buildings, and smart cities on CSR 2.0 and social responsibility, how these parameters improve sustainable development and sustainability in social responsibility, corporate social responsibility (CSR), and how social responsibility could influence humanities are explored.

This study explores evolving tourist preferences post-COVID-19, focusing on the growing demand for sustainable tourism. Using the X.0 wave/tomorrow age theory when X.0 = 5.0, it identifies transformative trends influencing the tourism industry's adaptation to new sustainability expectations.

A mixed-methods approach combines extensive surveys and interviews with diverse tourist profiles to examine behaviors and preferences. The seven pillars of sustainability (7PS) model frames the analysis.

Tourism is shifting toward sustainable practices, emphasizing cultural differences, environmental stewardship, social engagement, economic resilience, technological infrastructure, educational methods and political supports. The integration of X.0 wave theory with SME 5.0 concepts highlights the importance of responsible tourism aligned with evolving tourist expectations.

This study pioneers the application of the X.0 wave/tomorrow age theory to tourism, offering a novel framework for sustainable practices. It provides insights for making tourism resilient, ecologically sound and socially responsible, meeting post-pandemic visitor demands.

The technological revolution is fundamentally changing our lifestyle, work, and communication. There is still no accurate information about the future of this great transformation, but one thing is quite clear: the speed of the transformations in terms of scale and complexity, like a storm, will go through all aspects of a society's life and change all the current paradigms. One of the expectations from the fourth industrial revolution will be the expansion of smart cities in accordance with sustainable development criteria. In order for a city to be truly smart and innovative, city officials must pay attention to elements such as renewable and clean energy such as the internet of things, smart networks, smart parking, and smart transportation. In another sense, there must be a balance between economy, environment, and society in order to build a strong, sustainable, and flexible smart city that will survive the test of time. Of course, based on the 7PS model, the dimensions of culture and education are very important and fundamental for high sustainability. Researchers and those involved in the implementation of smart cities have explained the main indicators to identify these cities, which include some of the following items: For example, smart building, environmental protection, smart garbage collection, digitization of all government affairs and administrative work, widespread use of smartphones and electronic devices, complete, convenient, and universal access to the internet, car sharing service and online taxi. Other important indicators include the intelligentization of the traffic system and urban planning, citizen participation, economic ecosystem, optimization in electricity, water and energy consumption, development of electric and electric public transportation fleet, quality control and management, and reduction of air pollution. In this chapter, the theory of i-Sustainability Plus and i-Comprehensive Strategic Urban Plan is introduced as the beating heart of the ubiquitous blue-green smart city design. In such urban areas, it is all about the combination of real life, virtual reality, and in addition the future of clean technologies. In general, it can be said that sustainable smart cities are a solution to combat the challenges of urbanization.

Considering the direct impact of retailers' performance on the economy, this paper aimed to propose a comprehensive framework to evaluate the performance of different branches of a retailer.

Through a case study, the weights of indicators were calculated by the best-worst method (BWM) and the branches' performance was appraised using data envelopment analysis (DEA).

The branches were ranked in terms of performance, and sensitivity analysis and statistical tests were conducted to realize the weaknesses and strengths of the branches. Then, some strategies were proposed using strengths, weaknesses, opportunities and threats (SWOT) analysis to improve the performance of the weak branches.

This paper contributes to previous studies on the evaluation of retailers' performance by proposing a triple framework based on resilience, sustainability and sales-marketing indicators. This paper focused on branches' operations and branches' optimization by improving performance in terms of these three indicators. This paper also offers a qualitative and quantitative analysis of retailers' performance, which has received less attention in previous studies.