This study contributes a stochastic, multi-objective adaptation of the classic environmental economics Lake Problem as a computationally simple but mathematically challenging benchmarking problem. The Lake Problem considers a hypothetical town by a lake, which hopes to maximize its economic benefit without crossing a nonlinear, and potentially irreversible, pollution threshold. Optimization obj...

THE DRP (dial a ride problem) consists on determining and planifiying the operated tours of vehicles in order to satisfy the user’s requests hoping to become origin’s points to destination’s points. The DRP is bind to NPdifficult problems, in order to solve it, many researchers have been used multi objective approached methods; actually our approach consists on reducing the number of vehicles, ...

Oscillations are an intrinsic phenomenon in interconnected power systems, leading to steady-state stability, safety decline, transmission limitation, and electric systems’ ineffective exploitation by developing particularly connecting these systems low-load lines. In addition, they affect the economic performance of systems. this study, PSS2B system stabilizers TCSC compensators used improve st...

Abstract In general redundancy allocation problems the redundancy strategy for each subsystem is predetermined. Tavakkoli- Moghaddam presented a series-parallel redundancy allocation problem with mixing components (RAPMC) in which the redundancy strategy can be chosen for individual subsystems. In this paper, we present a bi-objective redundancy allocation when the redundancy strategies for...

In a recent paper by Tang, Reed and Wagener (2006, hereafter referred to as TRW) a comparison assessment was presented of three state-of-the-art evolutionary algorithms for multiobjective calibration of hydrologic models. Through three illustrative case studies, TRW demonstrate that the Strength Pareto Evolutionary Algorithm 2 (SPEA2) and Epsilon Dominance Nondominated Sorted Genetic Algorithm ...

In this paper we investigate whether multi-objective evolution of digital hardware components has advantages over single-objective evolution in terms of convergence and robustness. To that end, we experimentally compare a standard genetic algorithm to several multi-objective optimizers on a set of test problems. The results show that, for more complex test problems, the multi-objective optimize...

This study provides a comprehensive assessment of state-of-the-art evolutionary multiobjective optimization (EMO) tools’ relative effectiveness in calibrating hydrologic models. The relative computational efficiency, accuracy, and ease-of-use of the following EMO algorithms are tested: Epsilon Dominance Nondominated Sorted Genetic AlgorithmII (ε-NSGAII), the Multiobjective Shuffled Complex Evol...

هدف: تحلیل گفتمان‌های پیرامون جانشین­‌پروری در یک دستگاه دولتی.طراحی/ روش­‌شناسی/ رویکرد: تحقیق حاضر به لحاظ رویکرد، کیفی؛ روش نمونه­‌گیری، هدفمند و جمع­‌آوری داده­‌ها عمدتا مصاحبه نیمه ساختاریافته با 13 نفر از مدیران مورد مطالعه بوده است. داده‌­ها، گفتمان انتقادی بهره‌­گیری الگوی فرکلاف طی سه مرحله توصیف، تفسیر تبیین انجام یافته است.یافته‌­های پژوهش: مهم­ترین یافته­‌های بخش استخراج 416 کد مثبت...

NSGA ( [5]) is a popular non-domination based genetic algorithm for multiobjective optimization. It is a very effective algorithm but has been generally criticized for its computational complexity, lack of elitism and for choosing the optimal parameter value for sharing parameter σshare. A modified version, NSGAII ( [3]) was developed, which has a better sorting algorithm , incorporates elitism...