دور جدید میں کرائے کی ماں (Surrogate Mothering) کا تصور اور اسلامی نقطہ نظر

Artificial insemination is a means of attaining pregnancy not involving sexual intercourse. A couple having trouble getting pregnant can benefit from the exact timing and placement of the sperm. It can overcome instances where a woman's immune system can reject her partner's sperm as invading molecules. In the case of an impotent male, donor sperm may be used. It is also a means for a woman to conceive when two women wish to parent a child, or a single woman does not have a male partner, when she does not want a male partner, or when a male partner's physical limitation impedes his ability to impregnate her by sexual intercourse. A relationship in which one woman bears and gives birth to a child for a person or a couple who then adopts or takes legal custody of the child; called Surrogate Motherhood. In surrogate motherhood, one woman acts as a surrogate, or replacement, mother for another woman, sometimes called the intended mother, who either cannot produce fertile eggs or cannot carry a pregnancy through to birth, or term. Surrogate mothering phenomena is prevailing all over the world now days especially in America and European countries. The first recognized surrogate mother arrangement was made in 1976. Surrogate mothering is also introducing in Islam in some extend but Islam has its own laws regarding each and every problem of life. This Article is a summary of all positive and negative aspects of said issue and a critical analysis of its implications according to the Islamic injunctions in modern era.

Hybrid Nature Inspired Algorithms for Engineering Design Optimization Problems

The focus of this dissertation is on the development of hybrid nature inspired metaheuristics for engineering design optimization problems. In this study, three nature inspired metaheuristics naming Artificial Showering Algorithm (ASHA), Artificial Bee Colony (ABC) algorithm and Differential Evolution (DE) have been considered for improvement and hybridization. We propose several improved as well as novel mixtures of the Nature Inspired Computational (NIC) methods, such as Targeted Showering Optimization (TSO), Radial ABC (RABC), hybrid of ABC and a modified ASHA (ABC-MASH) and Differential Targeted ABC (DTABC) algorithms. The structures and working principles of the proposed algorithms are discussed and analyzed in details. The performance of the our proposed hybrid NIC algorithms has been investigated by statistical analysis of their results on nonlinear, unimodal, multi-modal, multi-objective, nonlinear systems in engineering and engineering design optimization problems. The analysis reveals that the proposed hybrid NIC algorithms overcome the deficiencies of individual algorithms and outperform several past hybrid methods on engineering design optimization problems. It has been established through computer simulations and non-parametric analysis of the results that our designed hybrid NIC algorithms are consistent in producing superior optimization results over the standard individual NIC algorithms as well as the past hybrid methods with respect to the exploration efficiency, speed of convergence and quality and quantity of the best and mean optimal solutions attained.