"Software Project Portfolio Optimization with Advanced Multiobjective Evolutionary Algorithms" . . "21230" . "Large software companies have to plan their project portfolio to maximize potential portfolio return and strategic alignment, while balancing various preferences, and considering limited resources. In this paper we propose an approach to describe software project portfolios with a set of multiobjective criteria for portfolio managers using the COCOMO II model and introduce a multiobjective evolutionary approach, mPOEMS, to find the Pareto-optimal front efficiently.We evaluate the new approach with portfolios choosing from a set of 50 projects that follow the validated COCOMO II model criteria and compare the performance of the mPOEMS approach with state-of-the-art multiobjective optimization evolutionary approaches. Major result is the mPOEMS approach outperformed the other approaches." . . "Kubal\u00EDk, Ji\u0159\u00ED" . "230404" . . . . "11"^^ . "Z(MSM6840770012)" . "Evolutionary Computing; Real-World Complexities; Decision Support; Multiobjective Optimization; Software Project Portfolio Management"@en . "http://authors.elsevier.com/offprints/ASOC859/5051f9feacf19b170053566a04dd0850" . "Applied Soft Computing" . . "Software Project Portfolio Optimization with Advanced Multiobjective Evolutionary Algorithms"@en . "11" . . . . . "1568-4946" . . "RIV/68407700:21230/11:00169342!RIV12-MSM-21230___" . "Biffl, S." . "NL - Nizozemsko" . "3"^^ . . "RIV/68407700:21230/11:00169342" . . "Software Project Portfolio Optimization with Advanced Multiobjective Evolutionary Algorithms"@en . "[630D910BF28F]" . "1"^^ . . "Kremmel, T." . "10.1016/j.asoc.2010.04.013" . "Large software companies have to plan their project portfolio to maximize potential portfolio return and strategic alignment, while balancing various preferences, and considering limited resources. In this paper we propose an approach to describe software project portfolios with a set of multiobjective criteria for portfolio managers using the COCOMO II model and introduce a multiobjective evolutionary approach, mPOEMS, to find the Pareto-optimal front efficiently.We evaluate the new approach with portfolios choosing from a set of 50 projects that follow the validated COCOMO II model criteria and compare the performance of the mPOEMS approach with state-of-the-art multiobjective optimization evolutionary approaches. Major result is the mPOEMS approach outperformed the other approaches."@en . . "Software Project Portfolio Optimization with Advanced Multiobjective Evolutionary Algorithms" . . . . "000281591300139" . "1" .