Information systems (IS) scholars have proposed guidelines for interpretive, mixed methods, and design science research in IS. Because many of these also been suggested evaluating what good or rigorous is, they may be used as a checklist the review process. In this paper, we raise question: To extent do offer evidence that can to evaluate quality research. We argue use is if there compelling le...

Most real world engineering design problems, such as cross-country water mains, include combinations of continuous, discrete, and binary value decision variables. Very often, the binary decision variables associate with the presence and/or absence of some nominated alternatives or project’s components. This study extends an existing continuous Ant Colony Optimization (ACO) algorithm to simultan...

Analytical Software Design (ASD) is a design approach that combines formal and empirical methods for developing mathematically verified software systems. Unlike conventional design methods, the design phase is extended with more formal techniques, so that flaws are detected earlier, thereby reducing the time needed for coding, testing, and integration. In this paper, we demonstrate formal detai...

Many engineering design problems involve a combination of both continuous anddiscrete variables. However, the number of studies scarcely exceeds a few on mixed-variableproblems. In this research Particle Swarm Optimization (PSO) algorithm is employed to solve mixedvariablenonlinear problems. PSO is an efficient method of dealing with nonlinear and non-convexoptimization problems. In this paper,...

Ant colony optimization algorithms (ACOs) have been basically introduced to discrete variable problems and applied to different research domains in several engineering fields. Meanwhile, abundant studies have been already involved to adapt different ant models to continuous search spaces. Assessments indicate competitive performance of ACOs on discrete or continuous domains. Therefore, as poten...

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